Triple

T17425997
Position Surface form Disambiguated ID Type / Status
Subject Department of Lima E423738 entity
Predicate hasMajorCity P316 FINISHED
Object Cañete 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: Cañete | Statement: [Department of Lima, hasMajorCity, Cañete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cañete
Context triple: [Department of Lima, hasMajorCity, Cañete]
  • A. Cañete chosen
    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.
  • B. Cañete
    Cañete is a historic town in the province of Cuenca, Spain, known for its medieval architecture and hilltop castle.
  • C. Cañamel
    Cañamel is a central fictional character in Vicente Blasco Ibáñez’s novel "Cañas y barro," representing the harsh, traditional rural life of the Albufera region near Valencia.
  • D. Peñafiel
    Peñafiel is a historic town in Spain renowned for its medieval castle and wine-making tradition in the Ribera del Duero region.
  • E. Puntallana
    Puntallana is a small coastal municipality and rural village on the northeastern side of the island of La Palma in Spain’s Canary Islands.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e448fbfda88190be1c001d64289bf7 completed April 19, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:46 a.m.