Triple

T16333697
Position Surface form Disambiguated ID Type / Status
Subject Wounaan people E396619 entity
Predicate hasExonym P4705 FINISHED
Object Noanamá E1089798 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: Noanamá | Statement: [Wounaan people, hasExonym, Noanamá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noanamá
Context triple: [Wounaan people, hasExonym, Noanamá]
  • A. Noanamá chosen
    Noanamá is an alternative name for the Wounaan language, an indigenous language spoken by the Wounaan people of Colombia and Panama.
  • B. Coñaripe
    Coñaripe is a small lakeside town in southern Chile known for its scenic setting near volcanoes, hot springs, and outdoor recreation areas.
  • C. Tumbalá
    Tumbalá is a municipality in the Mexican state of Chiapas, known for its lush jungle landscapes and proximity to popular natural attractions.
  • D. Aguajun
    Aguajun is an indigenous language of the Jivaroan family spoken by the Awajún people of the Peruvian Amazon.
  • E. Orocué
    Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta River.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e1da1081909bec6e77e6109dce completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0026173dc081909e00f6647d1f68b3 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.