Triple

T12628169
Position Surface form Disambiguated ID Type / Status
Subject Forêt de Haguenau E301569 entity
Predicate locatedInDepartment P40 FINISHED
Object Bas-Rhin E20754 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: Bas-Rhin | Statement: [Forêt de Haguenau, locatedInDepartment, Bas-Rhin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bas-Rhin
Context triple: [Forêt de Haguenau, locatedInDepartment, Bas-Rhin]
  • A. Bas-Rhin chosen
    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.
  • B. Haut-Rhin
    Haut-Rhin is a department in the Grand Est region of northeastern France, bordering Germany and Switzerland and known for its Alsatian culture and wine-producing villages.
  • C. 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.
  • D. Pays de Bitche
    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.
  • E. Alsace
    Alsace is a historical and cultural region in northeastern France known for its blend of French and German influences, picturesque villages, and renowned wines.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610b91dc8190a9abefb88447b0ae completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a539f098819096e955a035742dad completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:15 p.m.