Triple

T15366257
Position Surface form Disambiguated ID Type / Status
Subject Western Venezuela E367420 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Yukpa E215479 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: Yukpa | Statement: [Western Venezuela, hasEthnicGroup, Yukpa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yukpa
Context triple: [Western Venezuela, hasEthnicGroup, Yukpa]
  • A. Yukpa language chosen
    The Yukpa language is an indigenous Cariban language spoken by the Yukpa people in the border regions of northeastern Colombia and western Venezuela.
  • B. Sayultec
    Sayultec is an indigenous Mixe–Zoquean language spoken by the Sayula Popoluca people of southern Veracruz, Mexico.
  • C. Piapoco language
    The Piapoco language is an indigenous Arawakan language spoken by the Piapoco people of Colombia and Venezuela.
  • D. Yucuna language
    The Yucuna language is an indigenous Arawakan language spoken by the Yucuna people of the Colombian Amazon.
  • E. Northern Pame
    Northern Pame is a variety of the Pame language spoken by the Pame people of central Mexico, distinguished by its own phonological and grammatical features.
  • 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.