Triple

T10192550
Position Surface form Disambiguated ID Type / Status
Subject Hérault River E238073 entity
Predicate sourceLocation 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: [Hérault River, sourceLocation, Cévennes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cévennes
Context triple: [Hérault River, sourceLocation, 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. Monts du Cantal
    Monts du Cantal is a large ancient volcanic mountain range in France’s Massif Central, known for its eroded peaks, pastoral landscapes, and central role in the Auvergne volcanic region.
  • C. Auvergne
    Auvergne is a historic region in central France known for its volcanic landscapes, rural character, and Romanesque heritage.
  • D. 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.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc4fb808190aae2e4b84be96f83 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32ae3fe40819093080f9bf15a9608 completed April 6, 2026, 3:39 a.m.
Created at: March 30, 2026, 9:13 p.m.