Triple

T14980926
Position Surface form Disambiguated ID Type / Status
Subject Grenelle E373571 entity
Predicate hasPublicTransport P1288 FINISHED
Object Bir-Hakeim metro station E376679 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: Bir-Hakeim metro station | Statement: [Grenelle, hasPublicTransport, Bir-Hakeim metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bir-Hakeim metro station
Context triple: [Grenelle, hasPublicTransport, Bir-Hakeim metro station]
  • A. Bir-Hakeim station chosen
    Bir-Hakeim station is a Paris Métro station on Line 6, located near the Eiffel Tower and serving the Grenelle area in the 15th arrondissement.
  • B. Kléber metro station
    Kléber metro station is a Paris Métro station on Line 6, located near the Arc de Triomphe in the 16th arrondissement of Paris.
  • C. Rihour metro station
    Rihour metro station is an underground station on the Lille Metro serving the historic city center and the Grand-Place area of Lille, France.
  • D. Iéna metro station
    Iéna metro station is a Paris Métro station on Line 9 located in the 16th arrondissement, near landmarks such as the Palais de Tokyo and the Trocadéro.
  • E. Mabillon metro station
    Mabillon metro station is a Paris Métro station in the 6th arrondissement, serving the Saint‑Germain‑des‑Prés area on the Left Bank.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6fcebf481909f72cab577560d82 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bef015c8190bdfb1b9144b2a55c completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:52 a.m.