Triple

T21295754
Position Surface form Disambiguated ID Type / Status
Subject Lambayeque Region E524916 entity
Predicate hasArchaeologicalSite P1098 FINISHED
Object Túcume 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: Túcume | Statement: [Lambayeque Region, hasArchaeologicalSite, Túcume]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Túcume
Context triple: [Lambayeque Region, hasArchaeologicalSite, Túcume]
  • A. Túcume chosen
    Túcume is a large pre-Columbian archaeological complex in northern Peru, renowned for its numerous adobe pyramids and its importance within the Lambayeque (Sicán) culture.
  • B. Lambaré
    Lambaré is a major suburban city in the metropolitan area of Asunción, Paraguay, known for its residential neighborhoods and commercial activity.
  • C. Guará
    Guará is an administrative region and residential suburb within Brazil’s Federal District, located near Brasília.
  • D. Capiatá
    Capiatá is a city in Paraguay known as part of the Greater Asunción metropolitan area and an important urban and commercial center in the Central Department.
  • E. Naguanagua
    Naguanagua is a suburban municipality and city in the state of Carabobo, Venezuela, known for its residential areas, commercial centers, and proximity to the regional capital Valencia.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385858ec8190bdc9c5cdcb8d4507 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:04 p.m.