Triple

T16029704
Position Surface form Disambiguated ID Type / Status
Subject Rosheim E388811 entity
Predicate locatedNear P294 FINISHED
Object Mont Sainte-Odile E861108 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: Mont Sainte-Odile | Statement: [Rosheim, locatedNear, Mont Sainte-Odile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mont Sainte-Odile
Context triple: [Rosheim, locatedNear, Mont Sainte-Odile]
  • A. Mont Sainte-Odile chosen
    Mont Sainte-Odile is a prominent Vosges mountain in Alsace, France, known for its historic monastery and status as a major regional pilgrimage site.
  • B. Montagne du Roule
    Montagne du Roule is a prominent hill overlooking the port city of Cherbourg-en-Cotentin in Normandy, France, known for its strategic military importance and panoramic views of the surrounding coastline.
  • C. Mont Dauban
    Mont Dauban is the tallest mountain on Silhouette Island in the Seychelles, known for its lush tropical forests and panoramic views over the Indian Ocean.
  • D. Puy-Guillaume
    Puy-Guillaume is a small commune in central France’s Puy-de-Dôme department, known for its rural character and location near the Dore River.
  • E. Monti Ossenfort
    Monti Ossenfort is an American football executive who serves as the general manager of the NFL's Arizona Cardinals, overseeing the team's roster construction and football operations.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1832a56ec8190a47fd2cf83a42fd4 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf35ae808190aeb154a273c32a70 completed May 10, 2026, 12:20 a.m.
Created at: April 10, 2026, 4:56 a.m.