Triple

T8538342
Position Surface form Disambiguated ID Type / Status
Subject Ourcq E202132 entity
Predicate hasAdjacentStation P231 FINISHED
Object Porte de Pantin E213422 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: Porte de Pantin | Statement: [Ourcq, hasAdjacentStation, Porte de Pantin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porte de Pantin
Context triple: [Ourcq, hasAdjacentStation, Porte de Pantin]
  • A. Porte de Pantin chosen
    Porte de Pantin is a Paris Métro station in the 19th arrondissement, located near the Parc de la Villette and the Philharmonie de Paris.
  • B. Porte de Clichy
    Porte de Clichy is a major transport hub and neighborhood in northwestern Paris, known for its metro, RER, and tram connections near the city’s administrative and judicial complexes.
  • C. Porte de Clignancourt
    Porte de Clignancourt is a Paris Métro station in the 18th arrondissement, best known as the northern end of Line 4 and a gateway to the nearby Saint-Ouen flea markets.
  • D. Porte de Saint-Ouen
    Porte de Saint-Ouen is a Paris Métro station in the 17th arrondissement serving the northwestern part of the city near the Porte de Saint-Ouen city gate.
  • E. Porte de la Gardette
    Porte de la Gardette is a historic city gate in the medieval fortified town of Aigues-Mortes in southern France.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a5c2848190836c612597de83b7 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea86036a881909cd1744cdb5b7a7f completed April 2, 2026, 5:33 p.m.
Created at: March 30, 2026, 6:18 p.m.