Triple

T3387292
Position Surface form Disambiguated ID Type / Status
Subject Chocoan languages E71332 entity
Predicate hasPart P35 FINISHED
Object Wounaan language
Wounaan language is an indigenous Chocoan language spoken by the Wounaan people primarily in Panama and Colombia.
 E353474 NE FINISHED

How this triple was built (4 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: [Chocoan languages, hasPart, Wounaan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wounaan language
Context triple: [Chocoan languages, hasPart, Wounaan language]
  • A. Wapishana language
    The Wapishana language is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
  • B. 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.
  • C. Waja language
    The Waja language is a lesser-known Niger-Congo language spoken by the Waja people of northeastern Nigeria.
  • D. Dawan language
    The Dawan language is an Austronesian language spoken primarily in West Timor, Indonesia, by the Atoni people.
  • E. Wewewa language
    The Wewewa language is an Austronesian language spoken by the Wewewa people on the western part of Sumba Island in eastern Indonesia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wounaan language
Triple: [Chocoan languages, hasPart, Wounaan language]
Generated description
Wounaan language is an indigenous Chocoan language spoken by the Wounaan people primarily in Panama and Colombia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wounaan language
Target entity description: Wounaan language is an indigenous Chocoan language spoken by the Wounaan people primarily in Panama and Colombia.
  • A. Wapishana language
    The Wapishana language is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
  • B. 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.
  • C. Waja language
    The Waja language is a lesser-known Niger-Congo language spoken by the Waja people of northeastern Nigeria.
  • D. Dawan language
    The Dawan language is an Austronesian language spoken primarily in West Timor, Indonesia, by the Atoni people.
  • E. Wewewa language
    The Wewewa language is an Austronesian language spoken by the Wewewa people on the western part of Sumba Island in eastern Indonesia.
  • F. None of above. chosen

Provenance (5 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb66448fc8190a8582145f02bb1d9 completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33458130881908a2b47abd91f4ea8 completed March 12, 2026, 9:47 p.m.
NEDg Description generation batch_69b3389541a081909631f7cc0586d5e2 completed March 12, 2026, 10:05 p.m.
NED2 Entity disambiguation (via description) batch_69b338f4f9b48190bd3c8f89d3c6b9ba completed March 12, 2026, 10:06 p.m.
Created at: March 8, 2026, 3:14 p.m.