Triple

T9441709
Position Surface form Disambiguated ID Type / Status
Subject quartier Notre-Dame E227660 entity
Predicate hasTransportAccess P1298 FINISHED
Object Cité metro station E693113 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: Cité metro station | Statement: [quartier Notre-Dame, hasTransportAccess, Cité metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cité metro station
Context triple: [quartier Notre-Dame, hasTransportAccess, Cité metro station]
  • A. Cité metro station chosen
    Cité metro station is a Paris Métro station on Line 4 located on the Île de la Cité in central Paris.
  • B. Rambuteau metro station
    Rambuteau metro station is a Paris Métro station in the city center, located near the Centre Pompidou and serving Line 11.
  • C. République metro station
    République metro station is a major Paris Métro interchange located beneath Place de la République, serving several lines and connecting multiple central districts.
  • D. Saint-Paul metro station
    Saint-Paul metro station is a Paris Métro station on Line 1 located in the historic Marais district.
  • E. Saint-Placide metro station
    Saint-Placide metro station is a Paris Métro station on Line 4 located in the central Left Bank area of the city.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ee4f4a08190ada5ee14fec2b822 completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139db9d1081908e2014d6f0e7e925 completed April 4, 2026, 4:18 p.m.
Created at: March 30, 2026, 7:50 p.m.