Triple

T18887773
Position Surface form Disambiguated ID Type / Status
Subject La Tzoumaz E462000 entity
Predicate hasNearbyTown P3883 FINISHED
Object Riddes NE NERFINISHED

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: Riddes | Statement: [La Tzoumaz, hasNearbyTown, Riddes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riddes
Context triple: [La Tzoumaz, hasNearbyTown, Riddes]
  • A. Riddes chosen
    Riddes is a municipality in the canton of Valais in southwestern Switzerland, known for hosting the Écône seminary of the traditionalist Catholic Society of Saint Pius X.
  • B. Dowerin
    Dowerin is a small rural town in Western Australia known for its agricultural community and the annual Dowerin GWN7 Machinery Field Days.
  • C. Ridgmont
    Ridgmont is a small village and civil parish in Bedfordshire, England, known for its rural character and proximity to the Woburn Estate.
  • D. Glenora
    Glenora is a small community in Prince Edward County, Ontario, known for its scenic location on the Bay of Quinte and proximity to Lake on the Mountain Provincial Park.
  • E. McIldowie
    McIldowie is a relatively uncommon Scottish-origin surname associated with individuals such as Mr Hudson.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c4777434819098850da0ee1c6b43 completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:58 a.m.