Triple

T11468779
Position Surface form Disambiguated ID Type / Status
Subject Sioule E271845 entity
Predicate hasValley P650 FINISHED
Object Sioule valley E929617 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: Sioule valley | Statement: [Sioule, hasValley, Sioule valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sioule valley
Context triple: [Sioule, hasValley, Sioule valley]
  • A. Sioule valley chosen
    The Sioule valley is a scenic river valley in central France known for its winding gorges, natural landscapes, and opportunities for outdoor activities such as hiking, fishing, and canoeing.
  • B. Célé Valley
    Célé Valley is a scenic river valley in southwestern France known for its limestone cliffs, medieval villages, and outdoor activities such as hiking and canoeing.
  • C. Fils Valley
    Fils Valley is a scenic valley in the German state of Baden-Württemberg, shaped by the Fils River and known for its towns, transport routes, and industrial history.
  • D. Vallée
    Vallée is a French surname most notably associated with acclaimed Canadian film director and screenwriter Jean-Marc Vallée.
  • E. Agly valley
    Agly valley is a scenic wine-producing valley in southern France, known for its rugged landscapes, vineyards, and the Agly River that runs through it.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f74144819094479690c8151073 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e684f59e2481909e96129e28c961ea completed April 20, 2026, 7:56 p.m.
Created at: April 8, 2026, 9:35 p.m.