Triple

T22835086
Position Surface form Disambiguated ID Type / Status
Subject Ventanilla E565922 entity
Predicate locatedNear P294 FINISHED
Object Callao (city) 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 (city) | Statement: [Ventanilla, locatedNear, Callao (city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Callao (city)
Context triple: [Ventanilla, locatedNear, Callao (city)]
  • A. Callao
    Callao is a central Madrid Metro station located in the busy commercial and entertainment hub around Plaza del Callao in the city center.
  • B. 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.
  • C. Callao
    Callao is a small unincorporated community in Northumberland County, Virginia, known primarily as a rural locality in the Northern Neck region of the state.
  • D. Callao district
    Callao district is a coastal urban district in the Constitutional Province of Callao, Peru, known for encompassing the country’s main seaport and part of the Lima metropolitan area.
  • E. Chiclayo
    Chiclayo is a major commercial and transportation hub in northern Peru, known for its nearby archaeological sites and vibrant regional culture.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2e3e7481909d12dc5008136880 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:35 p.m.