Triple

T21353828
Position Surface form Disambiguated ID Type / Status
Subject Bitche canton E526557 entity
Predicate locatedIn P40 FINISHED
Object Pays de Bitche NE NERFINISHED

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: Pays de Bitche | Statement: [Bitche canton, locatedIn, Pays de Bitche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pays de Bitche
Context triple: [Bitche canton, locatedIn, Pays de Bitche]
  • A. Pays de Bitche chosen
    Pays de Bitche is a rural, hilly region in northeastern France’s Moselle department, known for its fortified towns, forests, and location within the Northern Vosges.
  • B. Bas-Rhin
    Bas-Rhin is a department in the Grand Est region of northeastern France, known for its border with Germany and its capital, the European institutional city of Strasbourg.
  • C. Sundgau
    Sundgau is a rural, hilly region in southern Alsace, France, known for its traditional villages, forests, and distinctive Alsatian culture.
  • D. Pays de Gex
    Pays de Gex is a region in eastern France near the Swiss border, known for its proximity to Geneva and the Jura Mountains.
  • E. Meurthe-et-Moselle
    Meurthe-et-Moselle is a department in northeastern France known for its capital Nancy, rich industrial history, and Art Nouveau architectural heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8af9aa9508190b756cc8e07084c8e completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:05 p.m.