Triple

T15856531
Position Surface form Disambiguated ID Type / Status
Subject Suresnes E384471 entity
Predicate locatedOn P40 FINISHED
Object Mont Valérien slopes E547537 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 Valérien slopes | Statement: [Suresnes, locatedOn, Mont Valérien slopes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mont Valérien slopes
Context triple: [Suresnes, locatedOn, Mont Valérien slopes]
  • A. Mont Valérien slopes chosen
    Mont Valérien slopes are the hillside areas surrounding Mont Valérien, a prominent elevation west of Paris known for its military history and memorial sites.
  • B. Plateau de Vanves
    Plateau de Vanves is a suburban plateau area in the southwestern outskirts of Paris, France, known for hosting several residential communes and urban developments.
  • C. Mont Trouillet hill
    Mont Trouillet hill is a notable elevated viewpoint in Sannois, France, known for its scenic vistas over the surrounding area.
  • D. Mont des Avaloirs
    Mont des Avaloirs is a prominent hill in northwestern France known as the highest summit of the Armorican Massif and a notable regional viewpoint.
  • E. Dent de Crolles
    Dent de Crolles is a prominent limestone peak in the French Alps known for its extensive cave systems and panoramic views over the Chartreuse 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cb08bd081908af2120eb2925441 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa14c1e508190a182db216cc4e326 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.