Triple

T22830230
Position Surface form Disambiguated ID Type / Status
Subject La Perla district E565779 entity
Predicate locatedIn P40 FINISHED
Object Callao Region 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: Callao Region | Statement: [La Perla district, locatedIn, Callao Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Callao Region
Context triple: [La Perla district, locatedIn, Callao Region]
  • A. Callao Region chosen
    Callao Region is a coastal administrative region of Peru that encompasses the country’s chief seaport and forms part of the Lima metropolitan area.
  • B. Cercado Province
    Cercado Province is an administrative province located within Bolivia’s Tarija Department, encompassing the departmental capital city of Tarija and its surrounding area.
  • C. Cercado Province
    Cercado Province is an administrative province located within Bolivia’s Cochabamba Department, encompassing the city of Cochabamba and its surrounding area.
  • D. Cabuyao
    Cabuyao is a rapidly developing industrial and residential city in the province of Laguna on the island of Luzon in the Philippines.
  • E. Panay region
    The Panay region is a major island area in the central Philippines known for its vibrant cities, rich cultural heritage, and proximity to popular tourist destinations like Boracay.
  • 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2ac8d48190b6dc7edc5ad82bc7 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:34 p.m.