Triple

T3572166
Position Surface form Disambiguated ID Type / Status
Subject Universities Research Association E75597 entity
Predicate hasAcronym P43 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: [Universities Research Association, hasAcronym, URA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: URA
Context triple: [Universities Research Association, hasAcronym, 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. AEA
    AEA is a major professional organization of economists in the United States that publishes leading academic journals and promotes economic research and education.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0c447fc81909689259558187af4 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402ef79e481909acd5d96678bc003 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.