Triple

T4046832
Position Surface form Disambiguated ID Type / Status
Subject Gardon de Saint-Jean E84085 entity
Predicate locatedIn P40 FINISHED
Object Cévennes E56142 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: Cévennes | Statement: [Gardon de Saint-Jean, locatedIn, Cévennes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cévennes
Context triple: [Gardon de Saint-Jean, locatedIn, Cévennes]
  • A. Cévennes chosen
    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.
  • B. Auvergne
    Auvergne is a historic region in central France known for its volcanic landscapes, rural character, and Romanesque heritage.
  • C. Luberon massif
    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.
  • D. 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.
  • E. Massif Central
    The Massif Central is a vast highland region in south-central France characterized by ancient volcanic mountains, plateaus, and deep river valleys.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb62593c8190ab8462c4d9cd9d08 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627b362508190905af163e9dbc1b4 completed March 15, 2026, 3:29 a.m.
Created at: March 9, 2026, 3:37 p.m.