Triple

T4680249
Position Surface form Disambiguated ID Type / Status
Subject Sion Airport E103780 entity
Predicate isInValley P56914 FINISHED
Object Rhône Valley E57446 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: Rhône Valley | Statement: [Sion Airport, isInValley, Rhône Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhône Valley
Context triple: [Sion Airport, isInValley, Rhône Valley]
  • A. Rhône Valley chosen
    The Rhône Valley is a major river valley in southeastern France renowned for its wine-producing regions, varied landscapes, and role as a key north–south transport corridor.
  • B. Val d’Ain
    Val d’Ain is the valley region shaped by the Ain River, known for its scenic landscapes and natural waterways in eastern France.
  • C. Moselle valley vineyards
    Moselle valley vineyards are renowned wine-growing areas along the Moselle River, famous for their steep terraced slopes and high-quality white wines, especially Riesling.
  • D. Côtes de Genève
    Côtes de Genève is a traditional decorative finishing technique used in Swiss watchmaking, characterized by parallel wave-like stripes engraved on movement components.
  • E. Rhine Valley
    The Rhine Valley is a picturesque river valley in Western Europe, renowned for its historic castles, terraced vineyards, and scenic towns along the Rhine River.
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd636c105081908655ab384f539f38 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03a8b7a88190bfc4f68438694995 completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.