Triple

T16544508
Position Surface form Disambiguated ID Type / Status
Subject District of Monthey E401906 entity
Predicate contains P35 FINISHED
Object Val-d'Illiez E403219 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: Val-d'Illiez | Statement: [District of Monthey, contains, Val-d'Illiez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Val-d'Illiez
Context triple: [District of Monthey, contains, Val-d'Illiez]
  • A. Val-d'Illiez chosen
    Val-d'Illiez is a Swiss alpine municipality in the canton of Valais, known for its mountain scenery and proximity to ski resorts in the Portes du Soleil region.
  • B. Villeroux
    Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • C. La Bresse-Lispach
    La Bresse-Lispach is a French ski area in the Vosges Mountains known for its cross-country skiing trails and family-friendly winter sports facilities.
  • D. Lussy
    Lussy is a small municipality in the Glâne District of the canton of Fribourg in western Switzerland.
  • E. Saignelégier
    Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34560daf08190b353b415d8ab280d completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007da0867881908ad9391d6d4cdebb completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:15 a.m.