Triple

T11056548
Position Surface form Disambiguated ID Type / Status
Subject U.S. Department of Energy Office of Science user facilities E261390 entity
Predicate partOf P40 FINISHED
Object United States Department of Energy user facilities
United States Department of Energy user facilities are a nationwide network of large-scale, publicly accessible research infrastructures that provide scientists with advanced tools and resources for cutting-edge scientific and technological investigations.
E261390 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: United States Department of Energy user facilities | Statement: [U.S. Department of Energy Office of Science user facilities, partOf, United States Department of Energy user facilities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United States Department of Energy user facilities
Context triple: [U.S. Department of Energy Office of Science user facilities, partOf, United States Department of Energy user facilities]
  • A. U.S. Department of Energy Office of Science user facilities
    U.S. Department of Energy Office of Science user facilities are a nationwide network of large-scale, cutting-edge research infrastructures that provide scientists with open access to specialized instruments and resources for advanced scientific discovery.
  • B. United States Department of Energy national laboratory system
    The United States Department of Energy national laboratory system is a network of federally funded research institutions that conduct advanced scientific, energy, and national security research on behalf of the U.S. government.
  • C. Office of National Laboratories
    The Office of National Laboratories is a component of the U.S. Department of Homeland Security that oversees and coordinates the department’s network of national laboratories and related research facilities.
  • D. National Energy Research Scientific Computing Center
    The National Energy Research Scientific Computing Center is a leading U.S. Department of Energy high-performance computing facility that provides advanced computational resources and support for large-scale scientific research.
  • E. Argonne National Laboratory
    Argonne National Laboratory is a major U.S. Department of Energy research center near Chicago, renowned for pioneering work in nuclear energy and broad multidisciplinary science and engineering.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: United States Department of Energy user facilities
Triple: [U.S. Department of Energy Office of Science user facilities, partOf, United States Department of Energy user facilities]
Generated description
United States Department of Energy user facilities are a nationwide network of large-scale, publicly accessible research infrastructures that provide scientists with advanced tools and resources for cutting-edge scientific and technological investigations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: United States Department of Energy user facilities
Target entity description: United States Department of Energy user facilities are a nationwide network of large-scale, publicly accessible research infrastructures that provide scientists with advanced tools and resources for cutting-edge scientific and technological investigations.
  • A. U.S. Department of Energy Office of Science user facilities chosen
    U.S. Department of Energy Office of Science user facilities are a nationwide network of large-scale, cutting-edge research infrastructures that provide scientists with open access to specialized instruments and resources for advanced scientific discovery.
  • B. United States Department of Energy national laboratory system
    The United States Department of Energy national laboratory system is a network of federally funded research institutions that conduct advanced scientific, energy, and national security research on behalf of the U.S. government.
  • C. Office of National Laboratories
    The Office of National Laboratories is a component of the U.S. Department of Homeland Security that oversees and coordinates the department’s network of national laboratories and related research facilities.
  • D. National Energy Research Scientific Computing Center
    The National Energy Research Scientific Computing Center is a leading U.S. Department of Energy high-performance computing facility that provides advanced computational resources and support for large-scale scientific research.
  • E. Argonne National Laboratory
    Argonne National Laboratory is a major U.S. Department of Energy research center near Chicago, renowned for pioneering work in nuclear energy and broad multidisciplinary science and engineering.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a2404c819090cb0825a67a64fa completed April 9, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d5ca2ec819088036a09861cc116 completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e42e67724481908bd9e73487a80d44 completed April 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_69e4308103c48190b32ee3047d9a0860 completed April 19, 2026, 1:31 a.m.
Created at: April 8, 2026, 9:26 p.m.