Triple

T12649807
Position Surface form Disambiguated ID Type / Status
Subject MRT Purple Line E302126 entity
Predicate operator P179 FINISHED
Object BEM E300204 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: BEM | Statement: [MRT Purple Line, operator, BEM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BEM
Context triple: [MRT Purple Line, operator, BEM]
  • A. BEM chosen
    BEM is the abbreviated name of a station on the MRT subway system.
  • B. BEM
    BEM is the post-nominal abbreviation for the British Empire Medal, an honor awarded for meritorious civil or military service in the United Kingdom and Commonwealth.
  • C. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • D. BEB
    BEB is the IATA airport code for Benbecula Airport, which serves the island of Benbecula in Scotland’s Outer Hebrides.
  • E. BES
    BES is the international vehicle registration code used for the Caribbean Netherlands islands of Bonaire, Sint Eustatius, and Saba.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9615cf6f48190bd0983cf7465ab15 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687dad6c8190bb72bfebf6636a37 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:18 p.m.