Triple

T16333696
Position Surface form Disambiguated ID Type / Status
Subject Wounaan people E396619 entity
Predicate hasAutonym P1435 FINISHED
Object Wounaan E162019 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: Wounaan | Statement: [Wounaan people, hasAutonym, Wounaan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wounaan
Context triple: [Wounaan people, hasAutonym, Wounaan]
  • A. Wounaan chosen
    The Wounaan are an Indigenous people of Panama and Colombia known for their rich rainforest-based culture, intricate basketry, and traditional practices closely tied to riverine environments.
  • B. Wanhatti
    Wanhatti is a village in Suriname known as a Maroon settlement located within the country’s eastern Marowijne District.
  • C. Wondo
    Wondo is the nickname of Chris Wondolowski, a prolific American soccer forward best known for his record-breaking goal-scoring career in Major League Soccer with the San Jose Earthquakes.
  • D. Waase
    Waase is a small village on the island of Ummanz in the German state of Mecklenburg-Vorpommern.
  • E. Yawal
    Yawal is a town in the Indian state of Maharashtra, situated in the Jalgaon district and known for its agricultural surroundings and local markets.
  • 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.