Triple

T3844771
Position Surface form Disambiguated ID Type / Status
Subject Lozère E93541 entity
Predicate contains P35 FINISHED
Object Causses E61549 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: Causses | Statement: [Lozère, contains, Causses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Causses
Context triple: [Lozère, contains, Causses]
  • A. Grands Causses chosen
    Grands Causses is a rugged limestone plateau region in southern France known for its deep gorges, dramatic cliffs, and pastoral landscapes within the broader Massif Central.
  • 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. Massif Central
    The Massif Central is a vast highland region in south-central France characterized by ancient volcanic mountains, plateaus, and deep river valleys.
  • 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. Étrembières
    Étrembières is a commune in southeastern France’s Haute-Savoie department, located near Geneva along the French-Swiss border.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb655c081909ec5ff3d09eb4778 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5337284608190af9c288033d5ce23 completed March 14, 2026, 10:07 a.m.
Created at: March 9, 2026, 3:18 p.m.