Triple

T2505039
Position Surface form Disambiguated ID Type / Status
Subject Privas E52557 entity
Predicate river P165 FINISHED
Object Ouvèze E20468 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: Ouvèze | Statement: [Privas, river, Ouvèze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ouvèze
Context triple: [Privas, river, Ouvèze]
  • A. Ouvèze River chosen
    The Ouvèze River is a river in southeastern France that flows through the Drôme and Vaucluse departments before joining the Rhône.
  • B. Broye
    Broye is a river in western Switzerland that flows through the cantons of Fribourg and Vaud before emptying into Lake Neuchâtel.
  • C. Vallée de la Dranse
    Vallée de la Dranse is a river valley in the French Alps shaped by the Dranse River, known for its mountainous landscapes and outdoor recreation opportunities.
  • D. Durance River
    The Durance River is a significant river in southeastern France that flows through the Alps and Provence before joining the Rhône.
  • E. Isère River
    The Isère River is a significant waterway in southeastern France that flows through the Alps and the city of Grenoble before joining the Rhône.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1cec9f48190848b6129aa394ce4 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b8bc7708190a507136d1f9f34ca completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.