Triple

T22456656
Position Surface form Disambiguated ID Type / Status
Subject Vimioso E555132 entity
Predicate hasOfficialName P66 FINISHED
Object Vimioso 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: Vimioso | Statement: [Vimioso, hasOfficialName, Vimioso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vimioso
Context triple: [Vimioso, hasOfficialName, Vimioso]
  • A. Vimioso chosen
    Vimioso is a municipality in northeastern Portugal known for its strong cultural ties to the Mirandese language and traditional rural heritage.
  • B. Vimianzo
    Vimianzo is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its medieval castle and traditional Galician culture.
  • C. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • D. Viggiona
    Viggiona is a small village and frazione of the municipality of Cannobio in the Piedmont region of northern Italy, near Lake Maggiore.
  • E. Vezia
    Vezia is a small municipality in the canton of Ticino in southern Switzerland, located just north of the city of Lugano.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7c428c8190847a259eef969525 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.