Triple

T15365263
Position Surface form Disambiguated ID Type / Status
Subject Atarrabia E367395 entity
Predicate hasOfficialName 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: [Atarrabia, hasOfficialName, Villava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villava
Context triple: [Atarrabia, hasOfficialName, 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. Tavannes
    Tavannes is a municipality in the Jura bernois administrative district of the canton of Bern in Switzerland, known for its watchmaking heritage and location in the Jura Mountains.
  • C. Blevio
    Blevio is a small lakeside municipality in the Province of Como, Lombardy, Italy, situated on the eastern shore of Lake Como.
  • D. Montilivi
    Montilivi is a neighborhood in Girona, Catalonia, Spain, known for hosting the Estadi Montilivi football stadium.
  • E. 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.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e497de48190be249b110999ec5c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1343862481908962dfe0ab946b97 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:18 a.m.