Triple

T22932898
Position Surface form Disambiguated ID Type / Status
Subject Kaili–Pamona languages E569488 entity
Predicate hasMember P10 FINISHED
Object Daa language
The Daa language is an Austronesian language of the Kaili–Pamona subgroup spoken by a local community in Sulawesi, Indonesia.
E1562349 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: Daa language | Statement: [Kaili–Pamona languages, hasMember, Daa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daa language
Context triple: [Kaili–Pamona languages, hasMember, Daa language]
  • A. Dane-zaa language
    The Dane-zaa language is an Athabaskan (Dene) language traditionally spoken by the Dane-zaa people of northeastern British Columbia and northwestern Alberta in Canada.
  • B. Daakaka language
    The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
  • C. Dawan language
    The Dawan language is an Austronesian language spoken primarily in West Timor, Indonesia, by the Atoni people.
  • D. Damana language
    The Damana language is an indigenous Chibchan tongue spoken by the Wiwa people of the Sierra Nevada de Santa Marta region in northern Colombia.
  • E. Thaua language
    The Thaua language is an Indigenous Australian Aboriginal language traditionally spoken by the Thaua (a group of the Yuin people) of the south coast of New South Wales.
  • 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: Daa language
Triple: [Kaili–Pamona languages, hasMember, Daa language]
Generated description
The Daa language is an Austronesian language of the Kaili–Pamona subgroup spoken by a local community in Sulawesi, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Daa language
Target entity description: The Daa language is an Austronesian language of the Kaili–Pamona subgroup spoken by a local community in Sulawesi, Indonesia.
  • A. Dane-zaa language
    The Dane-zaa language is an Athabaskan (Dene) language traditionally spoken by the Dane-zaa people of northeastern British Columbia and northwestern Alberta in Canada.
  • B. Daakaka language
    The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
  • C. Dawan language
    The Dawan language is an Austronesian language spoken primarily in West Timor, Indonesia, by the Atoni people.
  • D. Damana language
    The Damana language is an indigenous Chibchan tongue spoken by the Wiwa people of the Sierra Nevada de Santa Marta region in northern Colombia.
  • E. Thaua language
    The Thaua language is an Indigenous Australian Aboriginal language traditionally spoken by the Thaua (a group of the Yuin people) of the south coast of New South Wales.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181337ff881909d90cf3f5bae7516 completed April 29, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bc24ea8bc8190bb7cb6e9475d6641 completed May 19, 2026, 1:52 a.m.
NEDg Description generation batch_6a0bc3dea31c8190ab517e43c9061eec completed May 19, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc46fd3d0819094a532a8d6a0b9b2 completed May 19, 2026, 2:01 a.m.
Created at: April 17, 2026, 3:44 p.m.