Triple

T4526792
Position Surface form Disambiguated ID Type / Status
Subject Chillón River E106197 entity
Predicate nearbyCity P350 FINISHED
Object Callao E26734 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 | Statement: [Chillón River, nearbyCity, Callao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Callao
Context triple: [Chillón River, nearbyCity, Callao]
  • A. Callao chosen
    Callao is Peru’s chief seaport and a major coastal city adjacent to Lima, serving as the country’s principal gateway for maritime trade.
  • B. Lima
    Lima is the capital and largest city of Peru, known as a major political, economic, and cultural center on South America's Pacific coast.
  • C. Miraflores
    Miraflores is an upscale coastal district of Lima, Peru, known for its shopping, dining, nightlife, and cliffside views over the Pacific Ocean.
  • D. Trujillo
    Trujillo is a historic Spanish town in the region of Extremadura, renowned for its well-preserved medieval architecture and impressive main square.
  • E. Trujillo
    Trujillo is a major coastal city in northwestern Peru known for its colonial architecture, cultural festivals, and proximity to important pre-Columbian archaeological sites.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57760f4481908f69ce82be63d7f8 completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa0cf7bc81908fbe7f2e723a0784 completed March 21, 2026, 1:53 a.m.
Created at: March 20, 2026, 1:03 p.m.