Triple

T9574865
Position Surface form Disambiguated ID Type / Status
Subject BNM E231019 entity
Predicate hasAbbreviation P43 FINISHED
Object BNM E231019 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: BNM | Statement: [BNM, hasAbbreviation, BNM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BNM
Context triple: [BNM, hasAbbreviation, BNM]
  • A. BNM chosen
    BNM is the central bank of Malaysia, responsible for issuing currency, formulating monetary policy, and overseeing the country’s financial system.
  • B. BNR
    BNR is the central bank of Romania, responsible for the country’s monetary policy, currency issuance, and financial system stability.
  • C. MNB
    MNB is the central bank of Hungary, responsible for the country’s monetary policy, financial stability, and issuance of the national currency.
  • D. NBP
    NBP is a protocol used in AppleTalk networks to map human-readable names to network addresses, enabling devices and services to be discovered and accessed.
  • E. NBP
    NBP is the commonly used abbreviation for the New Bilibid Prison, the Philippines’ main national penitentiary located in Muntinlupa City.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99aa964c8190a50717edff30f10b completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152c3f1e8819099f3f9d0f1d2d7b3 completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:05 p.m.