Triple

T4590199
Position Surface form Disambiguated ID Type / Status
Subject Brigham Young University E103466 entity
Predicate academicAffiliation P467 FINISHED
Object URA E75597 NE FINISHED

How this triple was built (2 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: URA | Statement: [Brigham Young University, academicAffiliation, URA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: URA
Context triple: [Brigham Young University, academicAffiliation, URA]
  • A. URA chosen
    URA (Universities Research Association) is a consortium of research universities that collaborates to advance high-energy physics and other scientific research through managing and supporting major research facilities and projects.
  • B. AURA
    AURA (Association of Universities for Research in Astronomy) is a consortium of institutions that operates major astronomical observatories and facilities on behalf of the scientific community.
  • C. ULA
    ULA is a major American aerospace company that provides launch services for government and commercial payloads using rockets such as Atlas V and Vulcan.
  • D. UAL
    UAL is the ICAO airline designator used to identify United Airlines in aviation operations and air traffic control.
  • E. AArU
    AArU is a regional organization that brings together universities from Arab countries to promote cooperation, coordination, and development in higher education and research.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd592232888190af33c47636ca835d completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde0c1a7848190ac1e17fba6325593 completed March 21, 2026, 12:05 a.m.
Created at: March 20, 2026, 1:11 p.m.