Triple

T4109077
Position Surface form Disambiguated ID Type / Status
Subject Paris Métro Line 13 E88523 entity
Predicate hasStation P35 FINISHED
Object Place de Clichy E310806 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: Place de Clichy | Statement: [Paris Métro Line 13, hasStation, Place de Clichy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Place de Clichy
Context triple: [Paris Métro Line 13, hasStation, Place de Clichy]
  • A. Place de Clichy chosen
    Place de Clichy is a busy Parisian square and traffic hub at the junction of several arrondissements, known for its cinemas, cafés, and proximity to Montmartre.
  • B. Place des Ternes
    Place des Ternes is a prominent Parisian square known for its bustling traffic circle, Haussmann-era architecture, and location near the Arc de Triomphe and Avenue des Ternes.
  • C. Place du Corbeau
    Place du Corbeau is a historic square in central Strasbourg, France, known for its medieval character and proximity to the Ill River and the city’s old town landmarks.
  • D. Place de la Contrescarpe
    Place de la Contrescarpe is a small, lively square in Paris known for its cafés, restaurants, and village-like atmosphere near the Panthéon and Rue Mouffetard.
  • E. Place de la République
    Place de la République is the central public square of Le Mans, France, known as a key hub for shopping, events, and urban life in 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01da2b88819088a45401c0ec743a completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576a695b08190890aa4f64289d227 completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:40 p.m.