Triple

T15366254
Position Surface form Disambiguated ID Type / Status
Subject Western Venezuela E367420 entity
Predicate hasCity P316 FINISHED
Object Ciudad Ojeda E645392 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: Ciudad Ojeda | Statement: [Western Venezuela, hasCity, Ciudad Ojeda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciudad Ojeda
Context triple: [Western Venezuela, hasCity, 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. Girardota
    Girardota is a municipality in the Antioquia Department of Colombia, located in the northern part of the Aburrá Valley metropolitan area near Medellín.
  • D. 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.
  • E. San José del Fragua
    San José del Fragua is a rural municipality in southern Colombia known for its location in the Amazonian foothills of the Caquetá region and its rich natural landscapes.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e497de48190be249b110999ec5c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b4e968c8190a16824ee3ede13b2 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.