Triple

T2948547
Position Surface form Disambiguated ID Type / Status
Subject Bonneuil-en-France E79561 entity
Predicate sharesBorderWith P224 FINISHED
Object Villiers-le-Bel E168772 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: Villiers-le-Bel | Statement: [Bonneuil-en-France, sharesBorderWith, Villiers-le-Bel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villiers-le-Bel
Context triple: [Bonneuil-en-France, sharesBorderWith, Villiers-le-Bel]
  • A. La Roche-en-Ardenne
    La Roche-en-Ardenne is a picturesque town in Belgium’s Ardennes region, known for its medieval castle ruins, outdoor activities, and World War II history.
  • B. Gonesse chosen
    Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater Paris metropolitan area.
  • C. Fauvillers
    Fauvillers is a rural municipality in the province of Luxembourg in Wallonia, Belgium, known for its small villages and countryside landscapes.
  • D. Mont-Saint-Martin
    Mont-Saint-Martin is a commune in northeastern France notable for lying at the junction of the French, Belgian, and Luxembourgish borders.
  • E. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b6cab88190b4dee7e5ec9347e5 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b261d8d40c8190b5f0a78e4d3069f6 completed March 12, 2026, 6:48 a.m.
Created at: March 8, 2026, 2:57 p.m.