Triple

T3763620
Position Surface form Disambiguated ID Type / Status
Subject Basic Energy Sciences program E82618 entity
Predicate hasComponent P35 FINISHED
Object Materials Sciences and Engineering subprogram
The Materials Sciences and Engineering subprogram is a research initiative within the U.S. Department of Energy’s Basic Energy Sciences program that supports fundamental studies of materials’ properties, behavior, and design to advance energy-related technologies.
E386200 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: Materials Sciences and Engineering subprogram | Statement: [Basic Energy Sciences program, hasComponent, Materials Sciences and Engineering subprogram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Materials Sciences and Engineering subprogram
Context triple: [Basic Energy Sciences program, hasComponent, Materials Sciences and Engineering subprogram]
  • A. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit of Shanghai Jiao Tong University specializing in education and research on the properties, design, and applications of advanced materials.
  • B. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit of South China University of Technology specializing in education and research on advanced materials and their applications.
  • C. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.
  • D. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit of Nanyang Technological University specializing in education and research on advanced materials and their applications in engineering and technology.
  • E. Department of Materials Science and Engineering
    The Department of Materials Science and Engineering is an academic unit focused on studying and developing materials and their properties for engineering and technological applications.
  • 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: Materials Sciences and Engineering subprogram
Triple: [Basic Energy Sciences program, hasComponent, Materials Sciences and Engineering subprogram]
Generated description
The Materials Sciences and Engineering subprogram is a research initiative within the U.S. Department of Energy’s Basic Energy Sciences program that supports fundamental studies of materials’ properties, behavior, and design to advance energy-related technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Materials Sciences and Engineering subprogram
Target entity description: The Materials Sciences and Engineering subprogram is a research initiative within the U.S. Department of Energy’s Basic Energy Sciences program that supports fundamental studies of materials’ properties, behavior, and design to advance energy-related technologies.
  • A. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit of Shanghai Jiao Tong University specializing in education and research on the properties, design, and applications of advanced materials.
  • B. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit of South China University of Technology specializing in education and research on advanced materials and their applications.
  • C. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.
  • D. School of Materials Science and Engineering
    The School of Materials Science and Engineering is an academic unit of Nanyang Technological University specializing in education and research on advanced materials and their applications in engineering and technology.
  • E. Department of Materials Science and Engineering
    The Department of Materials Science and Engineering is an academic unit focused on studying and developing materials and their properties for engineering and technological applications.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfbecf8819099d80af480cbe2d2 completed March 8, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e51e54108190ab60e189cfbb0db0 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e6a49ffc81908d6322b1ca6f6327 completed March 14, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_69b4e7311cc4819098926b36b94cae96 completed March 14, 2026, 4:42 a.m.
Created at: March 8, 2026, 3:35 p.m.