Triple

T9422767
Position Surface form Disambiguated ID Type / Status
Subject Saint Arnulf of Metz E227195 entity
Predicate deathPlace P21 FINISHED
Object Remiremont E486511 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: Remiremont | Statement: [Saint Arnulf of Metz, deathPlace, Remiremont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Remiremont
Context triple: [Saint Arnulf of Metz, deathPlace, Remiremont]
  • A. Remiremont chosen
    Remiremont is a historic commune in northeastern France known for its picturesque setting in the Vosges region and its former influential abbey.
  • B. Champéry
    Champéry is a Swiss alpine village and ski resort in the canton of Valais, known for its access to the Portes du Soleil ski area and mountain tourism.
  • C. Nyons
    Nyons is a small town in southeastern France renowned for its olive production and picturesque setting in the Drôme Provençale region.
  • D. Bossey
    Bossey is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region, located near the Swiss border south of Geneva.
  • E. Morges
    Morges is a Swiss town on the shores of Lake Geneva that historically hosted the founding of the World Wildlife Fund and serves as a local cultural and economic center in the canton of Vaud.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c27c8cc8190a11162c10c33b17e completed April 1, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1102cd82081909346e78bc05477b4 completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:48 p.m.