Triple

T2363202
Position Surface form Disambiguated ID Type / Status
Subject Advanced Light Source E47320 entity
Predicate partOf P40 FINISHED
Object 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.
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: U.S. Department of Energy Office of Science user facilities | Statement: [Advanced Light Source, partOf, U.S. Department of Energy Office of Science user facilities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U.S. Department of Energy Office of Science user facilities
Context triple: [Advanced Light Source, partOf, U.S. Department of Energy Office of Science user facilities]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Center for Nanoscale Materials
    The Center for Nanoscale Materials is a U.S. Department of Energy user facility specializing in cutting-edge research and instrumentation for nanoscience and nanotechnology.
  • 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: U.S. Department of Energy Office of Science user facilities
Triple: [Advanced Light Source, partOf, U.S. Department of Energy Office of Science user facilities]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: U.S. Department of Energy Office of Science user facilities
Target entity description: 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.
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Center for Nanoscale Materials
    The Center for Nanoscale Materials is a U.S. Department of Energy user facility specializing in cutting-edge research and instrumentation for nanoscience and nanotechnology.
  • F. None of above. chosen

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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc746e7048190a09a38401b367628 completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8938d5481908ed11efcc8840ca4 completed March 9, 2026, 11:01 a.m.
NEDg Description generation batch_69aeabfeddd4819080205fbebac1a51d completed March 9, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69aeacc8445481908a3ae8bd62493413 completed March 9, 2026, 11:19 a.m.
Created at: March 4, 2026, 7:55 p.m.