Triple

T8908807
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Police Service E212129 entity
Predicate commonName P570 FINISHED
Object the Met E212129 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: the Met | Statement: [Metropolitan Police Service, commonName, the Met]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Met
Context triple: [Metropolitan Police Service, commonName, the Met]
  • A. the Met chosen
    The Met is the territorial police force responsible for law enforcement across Greater London, excluding the City of London.
  • B. The Met
    The Met is a world-renowned opera company and performance venue in New York City known for its grand productions and leading role in the international opera scene.
  • C. The Met
    The Met was an outdoor multi-purpose sports stadium in Bloomington, Minnesota, best known as the former home of the Minnesota Twins and Minnesota Vikings before the Metrodome.
  • D. Mettet
    Mettet is a municipality in Wallonia, Belgium, known for its rural character and the Circuit Jules Tacheny motor racing track.
  • E. Metros
    Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
  • 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc65207bbc8190be181555b9564797 completed April 1, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba31fc148190a8dbe378694dcc32 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:55 p.m.