Triple

T5615539
Position Surface form Disambiguated ID Type / Status
Subject Kayanic languages E147467 entity
Predicate hasMember P10 FINISHED
Object Uma’ Wak language
The Uma’ Wak language is an Austronesian language spoken by a subgroup of the Kayanic peoples of Borneo.
 E534744 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: Uma’ Wak language | Statement: [Kayanic languages, hasMember, Uma’ Wak language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uma’ Wak language
Context triple: [Kayanic languages, hasMember, Uma’ Wak language]
  • A. Uma’ Pawe language
    The Uma’ Pawe language is an Austronesian language of the Kayanic subgroup spoken by an indigenous community in Borneo.
  • B. Kwaio language
    The Kwaio language is an Austronesian language spoken by the Kwaio people on Malaita in the Solomon Islands.
  • C. Opokuma language
    The Opokuma language is a Niger-Congo language spoken by the Opokuma subgroup of the Ijaw people in Nigeria’s Niger Delta region.
  • D. Kisukuma language
    Kisukuma is a major Bantu language spoken primarily by the Sukuma people in northwestern Tanzania.
  • E. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • 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: Uma’ Wak language
Triple: [Kayanic languages, hasMember, Uma’ Wak language]
Generated description
The Uma’ Wak language is an Austronesian language spoken by a subgroup of the Kayanic peoples of Borneo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uma’ Wak language
Target entity description: The Uma’ Wak language is an Austronesian language spoken by a subgroup of the Kayanic peoples of Borneo.
  • A. Uma’ Pawe language chosen
    The Uma’ Pawe language is an Austronesian language of the Kayanic subgroup spoken by an indigenous community in Borneo.
  • B. Kwaio language
    The Kwaio language is an Austronesian language spoken by the Kwaio people on Malaita in the Solomon Islands.
  • C. Opokuma language
    The Opokuma language is a Niger-Congo language spoken by the Opokuma subgroup of the Ijaw people in Nigeria’s Niger Delta region.
  • D. Kisukuma language
    Kisukuma is a major Bantu language spoken primarily by the Sukuma people in northwestern Tanzania.
  • E. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • F. None of above.

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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021d8d600819097df4e265e262d90 completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d9efae4819089c595682e270188 completed March 22, 2026, 11:39 p.m.
NEDg Description generation batch_69c08afa2688819093d69a9cec480c19 completed March 23, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_69c08bf6c3b881908fe33abba998b1ca completed March 23, 2026, 12:40 a.m.
Created at: March 22, 2026, 3:39 p.m.