Triple

T19752609
Position Surface form Disambiguated ID Type / Status
Subject Quai Saint-Michel E474417 entity
Predicate locatedNear P294 FINISHED
Object Place Saint-Michel NE NERFINISHED

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 Saint-Michel | Statement: [Quai Saint-Michel, locatedNear, Place Saint-Michel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Place Saint-Michel
Context triple: [Quai Saint-Michel, locatedNear, Place Saint-Michel]
  • A. Saint-Michel chosen
    Saint-Michel is a central Paris Métro station on the Left Bank, serving the busy Saint-Michel–Notre-Dame area near the Seine and key historic landmarks.
  • B. Saint-Michel
    Saint-Michel is a Montreal Metro station that serves as the eastern terminus of the Blue Line in Montreal, Quebec, Canada.
  • C. Saint-Michel
    Saint-Michel is a residential neighborhood in Toulouse, France, known for its proximity to the Garonne River and the Île du Ramier recreational area.
  • D. Place Saint-Georges
    Place Saint-Georges is a central square in the town of Limbourg, Belgium, known for its historic character and traditional architecture.
  • E. Place Saint-Georges
    Place Saint-Georges is a historic square in the Saint-Georges district of Paris, known for its 19th-century architecture and central location in the 9th arrondissement.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529bcb8c8190bcca61a53be86757 completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:48 p.m.