Triple

T20399863
Position Surface form Disambiguated ID Type / Status
Subject IBTA E500302 entity
Predicate acronym P43 FINISHED
Object IBTA NE NERFINISHED

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: IBTA | Statement: [IBTA, acronym, IBTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBTA
Context triple: [IBTA, acronym, IBTA]
  • A. IBTA chosen
    IBTA is an industry consortium that develops and promotes the InfiniBand architecture and related high-speed interconnect standards.
  • B. iBBA
    The iBBA is an international-focused Bachelor of Business Administration program offered by the Schulich School of Business that emphasizes global business education and cross-cultural experience.
  • C. IBA
    IBA is the International Bar Association, a leading global organization of legal professionals and bar associations that works to shape the future of the legal profession and uphold the rule of law worldwide.
  • D. IBA
    IBA is the IATA airport code for Ibadan Airport, a domestic airport serving the city of Ibadan in southwestern Nigeria.
  • E. IBA
    IBA is the principal industry body representing banking and financial institutions in India, coordinating policy, advocacy, and common initiatives for its member banks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798db79c819085e3a2526538726f completed April 20, 2026, 7:07 p.m.
Created at: April 16, 2026, 11:29 a.m.