Triple

T23482818
Position Surface form Disambiguated ID Type / Status
Subject Indonesian State Intelligence Agency E570451 entity
Predicate usesAbbreviation P43 FINISHED
Object BIN 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: BIN | Statement: [Indonesian State Intelligence Agency, usesAbbreviation, BIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BIN
Context triple: [Indonesian State Intelligence Agency, usesAbbreviation, BIN]
  • A. BIN
    BIN is the three-letter IATA airport code assigned to Bamyan Airport in Afghanistan.
  • B. BIN
    BIN is the vehicle registration code used on license plates for vehicles registered in the town of Ingelheim am Rhein in Germany.
  • C. BIN chosen
    BIN is Indonesia’s primary state intelligence agency responsible for gathering, analyzing, and coordinating national intelligence to support government security and policy decisions.
  • D. BN2
    BN2 is a UK postal district covering parts of eastern Brighton and nearby areas within the BN (Brighton) postcode region.
  • E. BIT
    BIT is the vehicle registration code for the district of Bitburg-Prüm in the German state of Rhineland-Palatinate.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a751e6a08190a42c36722275d5d3 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:03 p.m.