Triple

T14833399
Position Surface form Disambiguated ID Type / Status
Subject Châtelet (Paris Métro) E348764 entity
Predicate partOf P40 FINISHED
Object Paris 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: Paris Métro | Statement: [Châtelet (Paris Métro), partOf, Paris Métro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris Métro
Context triple: [Châtelet (Paris Métro), partOf, Paris 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. 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.
  • C. Paris Métro Gare de Lyon
    Paris Métro Gare de Lyon is a major Parisian underground station and transport hub serving multiple metro and RER lines beneath the Gare de Lyon mainline railway terminal.
  • D. 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.
  • E. Lyon Metro
    Lyon Metro is the rapid transit system serving the French city of Lyon and its suburbs, known for its rubber-tyred lines and integration with the city’s broader public transport network.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded075af0881908fb35a9e7ee46749 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b40633481909882645f73d3e2c6 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:52 a.m.