Triple

T790434
Position Surface form Disambiguated ID Type / Status
Subject Langley Research Center E16900 entity
Predicate hasPart P35 FINISHED
Object Structures and Materials laboratories
Structures and Materials laboratories are specialized research facilities at NASA’s Langley Research Center focused on studying, testing, and developing advanced aerospace structures and materials.
E94015 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: Structures and Materials laboratories | Statement: [Langley Research Center, hasPart, Structures and Materials laboratories]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Structures and Materials laboratories
Context triple: [Langley Research Center, hasPart, Structures and Materials laboratories]
  • A. Materials Engineering Research Facility
    The Materials Engineering Research Facility is a specialized Argonne National Laboratory center focused on developing, scaling, and translating advanced materials and manufacturing processes for scientific and industrial applications.
  • B. 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.
  • C. Physical Sciences Laboratory
    The Physical Sciences Laboratory is a research division focused on studying atmospheric and related physical processes within NOAA’s Earth System Research Laboratories.
  • D. 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.
  • E. Chemical Sciences Laboratory
    The Chemical Sciences Laboratory is a research division focused on studying atmospheric chemistry and related processes to improve understanding of air quality and climate.
  • 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: Structures and Materials laboratories
Triple: [Langley Research Center, hasPart, Structures and Materials laboratories]
Generated description
Structures and Materials laboratories are specialized research facilities at NASA’s Langley Research Center focused on studying, testing, and developing advanced aerospace structures and materials.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Structures and Materials laboratories
Target entity description: Structures and Materials laboratories are specialized research facilities at NASA’s Langley Research Center focused on studying, testing, and developing advanced aerospace structures and materials.
  • A. Materials Engineering Research Facility
    The Materials Engineering Research Facility is a specialized Argonne National Laboratory center focused on developing, scaling, and translating advanced materials and manufacturing processes for scientific and industrial applications.
  • B. 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.
  • C. Physical Sciences Laboratory
    The Physical Sciences Laboratory is a research division focused on studying atmospheric and related physical processes within NOAA’s Earth System Research Laboratories.
  • D. 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.
  • E. Chemical Sciences Laboratory
    The Chemical Sciences Laboratory is a research division focused on studying atmospheric chemistry and related processes to improve understanding of air quality and climate.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a79754988190ab494b1c54d6a2a4 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67880f9608190b0676eb47ea99ca1 completed March 3, 2026, 5:58 a.m.
NEDg Description generation batch_69a678f962c881909884c2af15f41d65 completed March 3, 2026, 6 a.m.
NED2 Entity disambiguation (via description) batch_69a67953f2bc8190bbbf8d4ae9c2c3bc completed March 3, 2026, 6:01 a.m.
Created at: March 1, 2026, 7:38 p.m.