Triple

T8107292
Position Surface form Disambiguated ID Type / Status
Subject Opéra-Comique E189257 entity
Predicate publicTransitAccess P1288 FINISHED
Object Opéra metro station E434563 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: Opéra metro station | Statement: [Opéra-Comique, publicTransitAccess, Opéra metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Opéra metro station
Context triple: [Opéra-Comique, publicTransitAccess, Opéra metro station]
  • A. Opéra metro station chosen
    Opéra metro station is a major Paris Métro interchange in the 9th arrondissement, serving the Opéra Garnier area with connections between several central lines.
  • B. 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.
  • C. Hénon metro station
    Hénon metro station is a Lyon Metro station serving the La Croix-Rousse district in Lyon, France.
  • D. Arts-Loi metro station
    Arts-Loi metro station is a major Brussels Metro interchange station serving multiple lines in the city's European Quarter.
  • E. Hôtel de Ville metro station
    Hôtel de Ville metro station is a major Paris Métro interchange in the city center, serving lines 1 and 11 near the historic city hall and the Marais district.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42f89dd481908f1a25e4b16a8fc8 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced062f3881908560b657c096c92e completed April 1, 2026, 10:01 a.m.
Created at: March 30, 2026, 5:32 p.m.