Triple

T10533449
Position Surface form Disambiguated ID Type / Status
Subject Opéra district E248501 entity
Predicate publicTransport 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 district, publicTransport, Opéra metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opéra metro station
Context triple: [Opéra district, publicTransport, 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. 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.
  • C. 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.
  • D. 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.
  • E. Hénon metro station
    Hénon metro station is a Lyon Metro station serving the La Croix-Rousse district in Lyon, 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a19b59c8190b00db7d5813ad37d completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d99884c70481909fb45b7598f84c64 completed April 11, 2026, 12:40 a.m.
Created at: April 6, 2026, 12:31 p.m.