Triple

T14611833
Position Surface form Disambiguated ID Type / Status
Subject M (Paris Métro symbol) E342979 entity
Predicate standsFor P590 FINISHED
Object Métro E41186 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: Métro | Statement: [M (Paris Métro symbol), standsFor, Métro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Métro
Context triple: [M (Paris Métro symbol), standsFor, Métro]
  • A. Paris Metro chosen
    The Paris Metro is the extensive rapid transit system serving Paris and its suburbs, known for its dense network, Art Nouveau station entrances, and central role in the city’s public transportation.
  • B. Metros
    Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
  • C. Paris Métro Poissonnière
    Paris Métro Poissonnière is a station on the Paris Métro network located in the 10th arrondissement, serving Line 7 near the Gare du Nord area.
  • D. Marseille metro
    The Marseille metro is the rapid transit system serving the city of Marseille, France, providing underground rail connections across key urban areas.
  • E. Paris Métro Gare du Nord
    Paris Métro Gare du Nord is a major Parisian underground station and interchange hub serving multiple metro and RER lines beneath the Gare du Nord railway terminus.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb450e6588190a94488d8e71888c8 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5cbcf08819084313bf28f0bb3e1 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:25 a.m.