Triple

T15527597
Position Surface form Disambiguated ID Type / Status
Subject Ribera del Duero DO E369121 entity
Predicate importantTown P92693 FINISHED
Object Peñafiel E369116 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: Peñafiel | Statement: [Ribera del Duero DO, importantTown, Peñafiel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peñafiel
Context triple: [Ribera del Duero DO, importantTown, Peñafiel]
  • A. Peñafiel chosen
    Peñafiel is a historic town in Spain renowned for its medieval castle and wine-making tradition in the Ribera del Duero region.
  • B. Ubaque
    Ubaque is a municipality in central Colombia known for its rural Andean landscapes and traditional agricultural communities.
  • C. Cañete
    Cañete is a coastal province and agricultural hub in central Peru, known for its fertile valleys, Afro-Peruvian cultural heritage, and production of crops like grapes and cotton.
  • D. Cañete
    Cañete is a historic town in the province of Cuenca, Spain, known for its medieval architecture and hilltop castle.
  • E. Valverde de los Arroyos
    Valverde de los Arroyos is a picturesque traditional village in the province of Guadalajara, Spain, known for its slate architecture and scenic mountain surroundings.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff45549e4881908ab0769e49ba5dc4 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:05 a.m.