Triple

T28271638
Position Surface form Disambiguated ID Type / Status
Subject Manta E712869 entity
Predicate hasLatinAmericanLocation P190660 FINISHED
Object Colombia 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: Colombia | Statement: [Manta, hasLatinAmericanLocation, Colombia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLatinAmericanLocation
Context triple: [Manta, hasLatinAmericanLocation, Colombia]
  • A. hasIberianLocation
    Indicates that something is located in, or geographically associated with, the Iberian Peninsula.
  • B. locatedInCountrySouth
    Indicates that the subject entity is geographically situated within a country that lies in the southern part of the world or a specified southern region.
  • C. isLatinJurisdiction
    Indicates that a given legal or ecclesiastical entity falls under the authority or scope of Latin (Roman) jurisdiction rather than another rite or legal tradition.
  • D. locatedInCaribbean
    Indicates that one entity is geographically situated within the Caribbean region.
  • E. isInCountryWithAndes
    Indicates that an entity is located in a country whose territory includes part of the Andes mountain range.
  • F. None of above. chosen

Provenance (4 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_69efb5216c6881908020dce4aea65381 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69fcce2cf9188190b3f65b362203a6a3 completed May 7, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69fcccee6240819084680887731ff64b completed May 7, 2026, 5:33 p.m.
PDg Predicate description generation batch_69fccdd2d84481909a7ce22407def9c7 completed May 7, 2026, 5:37 p.m.
Created at: April 27, 2026, 11:18 p.m.