Triple

T22685049
Position Surface form Disambiguated ID Type / Status
Subject Lord of Sipán E560887 entity
Predicate museumLocation P3831 FINISHED
Object Lambayeque 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: Lambayeque | Statement: [Lord of Sipán, museumLocation, Lambayeque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lambayeque
Context triple: [Lord of Sipán, museumLocation, Lambayeque]
  • A. Lambayeque Region chosen
    Lambayeque Region is a coastal administrative region in northwestern Peru known for its rich Moche and Sicán archaeological heritage and important agricultural production.
  • B. Veraguas Province
    Veraguas Province is a region in western Panama known for its mix of Pacific and Caribbean coastlines, mountainous interior, and the provincial capital Santiago de Veraguas.
  • C. Azua Province
    Azua Province is a region in the Dominican Republic known for its diverse landscapes, including parts of the high-altitude Valle Nuevo National Park.
  • D. San Cristobal Province
    San Cristobal Province is the former name of Makira-Ulawa Province, an island province in the Solomon Islands known for its rich biodiversity and predominantly rural communities.
  • E. Bahoruco Province
    Bahoruco Province is a region in the southwestern Dominican Republic known for its diverse landscapes, including part of the hypersaline Lake Enriquillo and surrounding mountainous and agricultural areas.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17862c8a48190912a8ad09dfda795 completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:12 p.m.