Triple

T11568484
Position Surface form Disambiguated ID Type / Status
Subject Sannois E274317 entity
Predicate nearbyCommune P3883 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: [Sannois, nearbyCommune, Ermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ermont
Context triple: [Sannois, nearbyCommune, 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. Étrépilly
    Étrépilly is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd543a48190b834abd8e8ae7b65 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a776ea40819084912ad2459c5be9 completed April 22, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:37 p.m.