Triple

T5725576
Position Surface form Disambiguated ID Type / Status
Subject French Prealps E126255 entity
Predicate hasPart P35 FINISHED
Object Luberon E154506 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: Luberon | Statement: [French Prealps, hasPart, Luberon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luberon
Context triple: [French Prealps, hasPart, Luberon]
  • A. Luberon massif chosen
    The Luberon massif is a picturesque mountain range in southeastern France known for its hilltop villages, lavender fields, and protected natural landscapes within the Luberon Regional Nature Park.
  • B. Cévennes
    The Cévennes is a rugged mountainous region in south-central France known for its dramatic landscapes, chestnut forests, and historical role as a refuge for Protestant Huguenots.
  • C. Corbières Massif
    The Corbières Massif is a rugged mountain range in southern France, forming part of the eastern Pyrenees foothills and known for its dramatic limestone landscapes and wine-producing terroirs.
  • D. Alpes-de-Haute-Provence
    Alpes-de-Haute-Provence is a mountainous department in southeastern France known for its Alpine landscapes, lavender fields, and picturesque Provençal villages.
  • E. Montagne Noire
    Montagne Noire is a mountain range in southern France known for its forested slopes, rich water resources, and role as a key watershed feeding regional rivers and canals.
  • 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025085f508190adf5d540bc8a5b1c completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a86eea0819090bf6f9952d8dcc9 completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:47 p.m.