Triple

T22853876
Position Surface form Disambiguated ID Type / Status
Subject Jequetepeque Valley E566425 entity
Predicate hasSettlement P1068 FINISHED
Object Guadalupe 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: Guadalupe | Statement: [Jequetepeque Valley, hasSettlement, Guadalupe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guadalupe
Context triple: [Jequetepeque Valley, hasSettlement, Guadalupe]
  • A. Guadalupe
    Guadalupe is a city in the Monterrey metropolitan area of Nuevo León, Mexico, known for its urban development and major sports venues.
  • B. Guadalupe
    Guadalupe is a small settlement located on Graciosa Island in Portugal’s Azores archipelago.
  • C. Guadalupe
    Guadalupe is a renowned Catholic pilgrimage site in Mexico associated with the Marian apparitions of Our Lady of Guadalupe, one of the most venerated religious images in the world.
  • D. Guadalupe chosen
    Guadalupe is a town in northern Peru known for its agricultural surroundings and location within the La Libertad Region.
  • E. Guadalupe
    Guadalupe is a major urban district in Costa Rica, located within the metropolitan area of San José in the country's Central Valley.
  • 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eba65a881908c484262c3ee5212 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:37 p.m.