Triple

T17859262
Position Surface form Disambiguated ID Type / Status
Subject Briarwood station E446022 entity
Predicate servedByService P1294 FINISHED
Object F 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: F | Statement: [Briarwood station, servedByService, F]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: F
Context triple: [Briarwood station, servedByService, F]
  • A. F chosen
    The F is a New York City Subway service that runs along the IND Sixth Avenue Line in Manhattan and Queens Boulevard Line in Queens, connecting Brooklyn, Manhattan, and Queens.
  • B. F
    F is a tram line in the Strasbourg tramway network in France, serving various districts of the city and its suburbs.
  • C. F
    F is the New York Stock Exchange ticker symbol for Ford Motor Company, the American multinational automaker known for mass-producing automobiles and pioneering assembly line manufacturing.
  • D. F.
    F. is the standard legal citation abbreviation for the Federal Reporter series of case law published in the United States.
  • E. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978f34948190a25deb4fd617ad72 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.