Triple

T2089387
Position Surface form Disambiguated ID Type / Status
Subject Timor–Babar languages E32631 entity
Predicate hasMember P10 FINISHED
Object Dawan language
The Dawan language is an Austronesian language spoken primarily in West Timor, Indonesia, by the Atoni people.
 E231083 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: Dawan language | Statement: [Timor–Babar languages, hasMember, Dawan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dawan language
Context triple: [Timor–Babar languages, hasMember, Dawan language]
  • A. Suwawa language
    The Suwawa language is an Austronesian language spoken by the Suwawa people of northern Sulawesi, Indonesia, and is part of the Gorontalo–Mongondow subgroup.
  • B. Kavalan language
    The Kavalan language is an endangered Austronesian language of the indigenous Kavalan people of northeastern Taiwan.
  • C. Blablanga language
    The Blablanga language is an Oceanic language spoken in the Solomon Islands, belonging to the Northwest Solomonic subgroup of the Austronesian language family.
  • D. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • E. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern 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: Dawan language
Triple: [Timor–Babar languages, hasMember, Dawan language]
Generated description
The Dawan language is an Austronesian language spoken primarily in West Timor, Indonesia, by the Atoni people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dawan language
Target entity description: The Dawan language is an Austronesian language spoken primarily in West Timor, Indonesia, by the Atoni people.
  • A. Suwawa language
    The Suwawa language is an Austronesian language spoken by the Suwawa people of northern Sulawesi, Indonesia, and is part of the Gorontalo–Mongondow subgroup.
  • B. Kavalan language
    The Kavalan language is an endangered Austronesian language of the indigenous Kavalan people of northeastern Taiwan.
  • C. Blablanga language
    The Blablanga language is an Oceanic language spoken in the Solomon Islands, belonging to the Northwest Solomonic subgroup of the Austronesian language family.
  • D. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • E. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba730a5c8190a85be72149574d79 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2744d8108190b551a970956914c4 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae27c0cc40819093dcbcb34e12ada2 completed March 9, 2026, 1:52 a.m.
NED2 Entity disambiguation (via description) batch_69ae2819ec2481908652e9165d1a6636 completed March 9, 2026, 1:53 a.m.
Created at: March 4, 2026, 7:43 p.m.