Triple

T20009178
Position Surface form Disambiguated ID Type / Status
Subject Valleraugue E494540 entity
Predicate river P165 FINISHED
Object Hérault NE NERFINISHED

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: Hérault | Statement: [Valleraugue, river, Hérault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hérault
Context triple: [Valleraugue, river, Hérault]
  • A. Hérault chosen
    Hérault is a department in southern France known for its Mediterranean coastline, vineyards, and historic cities such as Montpellier and Béziers.
  • B. Bouches-du-Rhône
    Bouches-du-Rhône is a department in southern France known for the city of Marseille, its Mediterranean coastline, and parts of the historic Provence region.
  • C. Lozère
    Lozère is a sparsely populated department in southern France known for its rugged landscapes, including parts of the Cévennes and numerous river valleys.
  • D. Pays de Lunel
    Pays de Lunel is a French intercommunal structure (communauté de communes) that groups together Lunel and neighboring municipalities in the Hérault department for cooperative local governance and shared public services.
  • E. Haut-Languedoc region
    The Haut-Languedoc region is a mountainous and rural area in southern France known for its scenic valleys, forests, and traditional villages within the Haut-Languedoc Regional Natural Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a81c5881909692fcaaf59a57c9 completed April 20, 2026, 5:26 p.m.
Created at: April 11, 2026, 3:33 p.m.