Triple

T6072877
Position Surface form Disambiguated ID Type / Status
Subject Greater Lima conurbation E135326 entity
Predicate locatedIn P40 FINISHED
Object Callao Region E142552 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: Callao Region | Statement: [Greater Lima conurbation, locatedIn, Callao Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Callao Region
Context triple: [Greater Lima conurbation, 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. Cabuyao
    Cabuyao is a rapidly developing industrial and residential city in the province of Laguna on the island of Luzon in the Philippines.
  • C. San Fernando Region
    San Fernando Region is an administrative region that encompasses the city of San Fernando and its surrounding areas.
  • D. Cavite
    Cavite is a coastal province in the Calabarzon region of the Philippines, historically significant as a center of the Philippine Revolution and located just south of Metro Manila.
  • E. Tarlac
    Tarlac is a landlocked province in the Central Luzon region of the Philippines known for its culturally diverse population and agricultural economy.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05759d29481908912015e734ab943 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d3a37fc81909bbc1cdeec3205cf completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:11 p.m.