Triple

T4874897
Position Surface form Disambiguated ID Type / Status
Subject Saint-Leu-la-Forêt E109175 entity
Predicate locatedNear P294 FINISHED
Object Ermont E227534 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: Ermont | Statement: [Saint-Leu-la-Forêt, locatedNear, Ermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ermont
Context triple: [Saint-Leu-la-Forêt, locatedNear, Ermont]
  • A. Ermont chosen
    Ermont is a suburban commune in the northern outskirts of Paris, France, known for its residential character and transport links into the capital.
  • B. Savoye
    Savoye is a French surname most notably associated with the family who commissioned Le Corbusier’s iconic modernist Villa Savoye.
  • C. Plessis-l'Évêque
    Plessis-l'Évêque is a small French commune located in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
  • D. Étampes
    Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
  • E. Louveciennes
    Louveciennes is a picturesque commune in north-central France, noted for its scenic landscapes that attracted Impressionist painters such as Camille Pissarro.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6da1b45881909d45cb1214f5bdde completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69beef8499148190968800153a95174a completed March 21, 2026, 7:20 p.m.
Created at: March 20, 2026, 1:27 p.m.