Triple

T4681852
Position Surface form Disambiguated ID Type / Status
Subject Count of Saint-Leu E103820 entity
Predicate namedAfter P63 FINISHED
Object Saint-Leu-la-Forêt E109175 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: Saint-Leu-la-Forêt | Statement: [Count of Saint-Leu, namedAfter, Saint-Leu-la-Forêt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Leu-la-Forêt
Context triple: [Count of Saint-Leu, namedAfter, Saint-Leu-la-Forêt]
  • A. Saint-Leu-la-Forêt chosen
    Saint-Leu-la-Forêt is a commune in the northern suburbs of Paris, France, known for its historical association with the Bonaparte family, including the burial of Louis Bonaparte.
  • B. Saint-Brice-sous-Forêt
    Saint-Brice-sous-Forêt is a suburban commune in the Val-d'Oise department in northern France, located just north of Paris.
  • C. La Roche-sur-Foron
    La Roche-sur-Foron is a small historic town in the Haute-Savoie department of southeastern France, situated in the Arve Valley between Annecy and Geneva.
  • D. Villeneuve-la-Garenne
    Villeneuve-la-Garenne is a suburban commune in the northern part of the Paris metropolitan area in France.
  • E. Gressoney-La-Trinité
    Gressoney-La-Trinité is a high-altitude Alpine village and ski resort in Italy’s Aosta Valley, known for mountaineering access to Monte Rosa and its traditional Walser culture.
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd637fedd0819097f59734a9f9a01f completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03ac44d481908ecb1fe84184a886 completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.