Triple

T3541176
Position Surface form Disambiguated ID Type / Status
Subject Villava E74887 entity
Predicate officialName P66 FINISHED
Object Villava E74887 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: Villava | Statement: [Villava, officialName, Villava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villava
Context triple: [Villava, officialName, Villava]
  • A. Villava chosen
    Villava is a town in Navarre, northern Spain, best known as the birthplace of five-time Tour de France winner Miguel Indurain.
  • B. Blevio
    Blevio is a small lakeside municipality in the Province of Como, Lombardy, Italy, situated on the eastern shore of Lake Como.
  • C. Vésenaz
    Vésenaz is a residential village in the canton of Geneva, Switzerland, situated on the shores of Lake Geneva and forming part of the municipality of Collonge-Bellerive.
  • D. Plessur
    Plessur is a river in the canton of Graubünden in eastern Switzerland that flows through the city of Chur before joining the Alpine Rhine.
  • E. Lovari
    Lovari are a subgroup of the Romani people, traditionally known as itinerant horse traders and craftsmen with their own distinct dialect and cultural customs.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf729000819086e4fdba9e73e198 completed March 8, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bda9b848190a06b4b7113f97fc1 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.