Triple

T4472685
Position Surface form Disambiguated ID Type / Status
Subject Cañete E98530 entity
Predicate hasMajorCity P316 FINISHED
Object San Vicente de Cañete E440054 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: San Vicente de Cañete | Statement: [Cañete, hasMajorCity, San Vicente de Cañete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Vicente de Cañete
Context triple: [Cañete, hasMajorCity, San Vicente de Cañete]
  • A. San Vicente de Cañete chosen
    San Vicente de Cañete is a coastal Peruvian city in the Lima Region known for its agricultural production, Afro-Peruvian cultural heritage, and role as an important commercial center in the Cañete Valley.
  • B. San Borja
    San Borja is a town in Bolivia’s Beni Department, known as a regional center in the country’s northern lowlands.
  • C. San Borja
    San Borja is a primarily residential and commercial district in Lima, Peru, known for its middle- to upper-class neighborhoods, green areas, and cultural institutions.
  • D. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • E. Soto de Viñuelas
    Soto de Viñuelas is a protected natural area in the Madrid region of Spain, known for its Mediterranean woodlands, wildlife, and role as a peri-urban green space near the Jarama River.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356b95c888190a84bf4a9b2c60aa6 completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b66b33ecf48190a98ccbde9a3700c1 completed March 15, 2026, 8:17 a.m.
Created at: March 12, 2026, 11:35 p.m.