Triple

T11568485
Position Surface form Disambiguated ID Type / Status
Subject Sannois E274317 entity
Predicate nearbyCommune P3883 FINISHED
Object Franconville E260343 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: Franconville | Statement: [Sannois, nearbyCommune, Franconville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franconville
Context triple: [Sannois, nearbyCommune, Franconville]
  • A. Franconville chosen
    Franconville is a suburban commune in the northwestern outskirts of Paris, France, known for its residential character and location within the Val-d'Oise department.
  • B. Ville Basse
    Ville Basse is the lower, more modern part of the French city of Carcassonne, known for its shops, squares, and everyday urban life in contrast to the fortified medieval citadel.
  • C. Ville-la-Grand
    Ville-la-Grand is a commune in the Haute-Savoie department of southeastern France, situated near the Swiss border in the urban area of Annemasse.
  • D. Saint-Mard
    Saint-Mard is a French commune in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
  • E. Villeneuve d’Ascq
    Villeneuve d’Ascq is a suburban city in northern France near Lille, known for its universities, technology parks, and modernist urban planning.
  • 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_69e6e8c9a22c8190812c64b9f305ae99 completed April 21, 2026, 3:02 a.m.
Created at: April 8, 2026, 9:37 p.m.