Triple

T8525310
Position Surface form Disambiguated ID Type / Status
Subject Orb River E201799 entity
Predicate flowsThrough P225 FINISHED
Object Roquebrun E392490 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: Roquebrun | Statement: [Orb River, flowsThrough, Roquebrun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roquebrun
Context triple: [Orb River, flowsThrough, Roquebrun]
  • A. Roquebrun chosen
    Roquebrun is a picturesque village in southern France’s Hérault department, known for its Mediterranean microclimate, wine production, and scenic setting amid hills and river landscapes.
  • B. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • C. Verrières
    Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • D. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • E. Vaujours
    Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe644c4648190a14dcaeaa90d72c7 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf9ffe17e481908516d2f526d60684 completed April 3, 2026, 11:09 a.m.
Created at: March 30, 2026, 6:16 p.m.