Triple

T23238259
Position Surface form Disambiguated ID Type / Status
Subject Zulia E581362 entity
Predicate contains P35 FINISHED
Object Ciudad Ojeda 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: Ciudad Ojeda | Statement: [Zulia, contains, Ciudad Ojeda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciudad Ojeda
Context triple: [Zulia, contains, Ciudad Ojeda]
  • A. Ciudad Ojeda chosen
    Ciudad Ojeda is an oil-industry city in northwestern Venezuela, located on the eastern shore of Lake Maracaibo in Zulia state.
  • B. San Sebastián de Mariquita
    San Sebastián de Mariquita is a historic colonial-era town in the Tolima Department of Colombia, known for its role in the Spanish conquest and its preserved architecture.
  • C. San José de los Remates
    San José de los Remates is a rural municipality in central Nicaragua known for its agricultural economy and location within the hilly interior region of the country.
  • D. Girardota
    Girardota is a municipality in the Antioquia Department of Colombia, located in the northern part of the Aburrá Valley metropolitan area near Medellín.
  • E. Durán Canton
    Durán Canton is an administrative division in Ecuador’s Guayas Province, located near the city of Guayaquil and known as an important transport and industrial hub.
  • 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192ebaef4819083a7805537ad993f completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:09 p.m.