Triple

T3546175
Position Surface form Disambiguated ID Type / Status
Subject Emberá-Wounaan Comarca E75001 entity
Predicate languageUsed P238 FINISHED
Object Wounaan language E353474 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 language | Statement: [Emberá-Wounaan Comarca, languageUsed, Wounaan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wounaan language
Context triple: [Emberá-Wounaan Comarca, languageUsed, Wounaan language]
  • A. Wounaan language chosen
    Wounaan language is an indigenous Chocoan language spoken by the Wounaan people primarily in Panama and Colombia.
  • B. Wapishana language
    The Wapishana language is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
  • C. Woleaian language
    The Woleaian language is a Micronesian language spoken primarily on the atolls of Woleai and nearby islands in the Federated States of Micronesia.
  • D. Waja language
    The Waja language is a lesser-known Niger-Congo language spoken by the Waja people of northeastern Nigeria.
  • E. Dawan language
    The Dawan language is an Austronesian language spoken primarily in West Timor, Indonesia, by the Atoni people.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfcf64488190af8452308734028c completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38be29b408190a8dba8c8ae2485a4 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.