Triple

T6902869
Position Surface form Disambiguated ID Type / Status
Subject Bibliothèque de l’Institut de France E159535 entity
Predicate locatedOn P40 FINISHED
Object quai de Conti E263403 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: quai de Conti | Statement: [Bibliothèque de l’Institut de France, locatedOn, quai de Conti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: quai de Conti
Context triple: [Bibliothèque de l’Institut de France, locatedOn, quai de Conti]
  • A. Quai de Conti chosen
    Quai de Conti is a historic riverside quay on the Left Bank of the Seine in central Paris, known for its cultural institutions and picturesque views.
  • B. Quai de la Douane
    Quai de la Douane is a waterfront quay in the Port of Nice, France, serving as a docking and loading area for maritime traffic.
  • C. Quai de l’Archevêché
    Quai de l’Archevêché is a riverside quay on Paris’s Île de la Cité, known for its views of Notre-Dame Cathedral and its location along the Seine.
  • D. Quai de la Corse
    Quai de la Corse is a riverside quay on Paris’s Île de la Cité, lining the Seine near landmarks such as the flower market and Notre-Dame Cathedral.
  • E. Quai du Général-Guisan
    Quai du Général-Guisan is a prominent lakeside promenade and roadway along Lake Geneva in the city of Geneva, Switzerland.
  • 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d988a5b48190a9238047e86f314c completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748f6640481908b74903a47e1eb18 completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:25 p.m.