Triple

T1548891
Position Surface form Disambiguated ID Type / Status
Subject Zipaquirá E33041 entity
Predicate locatedOn P40 FINISHED
Object Bogotá Savannah E36496 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: Bogotá Savannah | Statement: [Zipaquirá, locatedOn, Bogotá Savannah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bogotá Savannah
Context triple: [Zipaquirá, locatedOn, Bogotá Savannah]
  • A. Sabana de Bogotá chosen
    Sabana de Bogotá is a high Andean plateau in central Colombia that hosts the capital city of Bogotá and serves as a major agricultural and population center.
  • B. Misiones rainforest
    The Misiones rainforest is a subtropical forest in northeastern Argentina renowned for its rich biodiversity, red-soil landscapes, and iconic Iguazú Falls.
  • C. Orinoco Llanos floodplains
    The Orinoco Llanos floodplains are vast seasonally inundated grasslands in the Orinoco River basin of Venezuela and Colombia, known for their rich biodiversity and extensive wetlands.
  • D. Meseta Central matorral
    Meseta Central matorral is a semi-arid shrubland ecoregion on Mexico’s central plateau, characterized by drought-adapted vegetation and high biodiversity.
  • E. Gran Chaco
    The Gran Chaco is a vast, sparsely populated lowland plain in central South America, known for its hot, semi-arid climate and dry forests spanning parts of Argentina, Paraguay, Bolivia, and Brazil.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90856642c81909d88a679eb265b10 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad401b98888190ad48fbfb6e075434 completed March 8, 2026, 9:23 a.m.
Created at: March 4, 2026, 7:26 p.m.