Triple

T14038337
Position Surface form Disambiguated ID Type / Status
Subject IBCAO E337771 entity
Predicate acronym P43 FINISHED
Object IBCAO E337771 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: IBCAO | Statement: [IBCAO, acronym, IBCAO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBCAO
Context triple: [IBCAO, acronym, IBCAO]
  • A. IBCAO chosen
    IBCAO is a comprehensive mapping project that provides detailed bathymetric charts of the Arctic Ocean seafloor.
  • B. IBA
    IBA is the IATA airport code for Ibadan Airport, a domestic airport serving the city of Ibadan in southwestern Nigeria.
  • 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 standard abbreviation for Important Bird Area, a globally recognized designation for sites critical to the conservation of bird populations and biodiversity.
  • E. IBA
    IBA is the commonly used abbreviation for the International Bartenders Association, a global organization that standardizes cocktail recipes and supports professional bartenders worldwide.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de30ee374081908b6b5e8f81dd90f2 completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc33bc20081909abea7e64d1bd578 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.