Triple

T5162374
Position Surface form Disambiguated ID Type / Status
Subject Montauban cemetery E116464 entity
Predicate ownedBy P347 FINISHED
Object City of Montauban E112838 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: City of Montauban | Statement: [Montauban cemetery, ownedBy, City of Montauban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Montauban
Context triple: [Montauban cemetery, ownedBy, City of Montauban]
  • A. Montauban chosen
    Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
  • B. City of Vienne
    The City of Vienne is a historic commune in southeastern France, renowned for its rich Roman heritage and well-preserved ancient monuments.
  • C. City of Belfort
    The City of Belfort is a historic commune in northeastern France, known for its strategic fortress, rich military heritage, and the monumental Lion of Belfort sculpture by Frédéric Bartholdi.
  • 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. Montgeron
    Montgeron is a suburban commune in the southern outskirts of Paris, France, known for its residential character and location within the Essonne department in the Île-de-France region.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79268ea48190a22d3350babc153c completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee07529d0819093fd4d127ac43e30 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:44 p.m.