Triple

T3865221
Position Surface form Disambiguated ID Type / Status
Subject Val-d'Oise E91834 entity
Predicate contains P35 FINISHED
Object Taverny E258288 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: Taverny | Statement: [Val-d'Oise, contains, Taverny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taverny
Context triple: [Val-d'Oise, contains, Taverny]
  • A. Taverny chosen
    Taverny is a suburban commune in the northwestern outskirts of Paris, located in the Val-d'Oise department in northern France.
  • B. Pontavenais
    Pontavenais is the French demonym for inhabitants of the town of Pont-Aven in Brittany.
  • C. Benacre
    Benacre is a small coastal village and civil parish in the county of Suffolk in eastern England, known for its rural landscape and proximity to the Benacre National Nature Reserve.
  • D. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • E. Château-Neuf
    Château-Neuf is a historic fortress in Bayonne, France, that once formed part of the city’s defensive stronghold along the Adour River.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3a253c81909df7dc0422ff7989 completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5123e5e008190a89bb226a7de55ec completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:19 p.m.