Triple

T6509853
Position Surface form Disambiguated ID Type / Status
Subject Seko languages E150098 entity
Predicate haveSubgroup P47820 FINISHED
Object Budong-Budong language E152166 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: Budong-Budong language | Statement: [Seko languages, haveSubgroup, Budong-Budong language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Budong-Budong language
Context triple: [Seko languages, haveSubgroup, Budong-Budong language]
  • A. Budong-Budong language chosen
    The Budong-Budong language is an Austronesian language spoken by a small community in West Sulawesi, Indonesia.
  • B. Bambam language
    The Bambam language is an Austronesian language spoken in parts of South Sulawesi, Indonesia, known for its place within the region’s diverse indigenous linguistic landscape.
  • C. Bugotu language
    The Bugotu language is an Oceanic language spoken by the Bugotu people of Santa Isabel Island in the Solomon Islands.
  • D. Buga language
    The Buga language is a lesser-known member of the Khoe family of southern African languages, spoken by a small community and considered endangered.
  • E. Modang language
    The Modang language is an Austronesian language spoken by the Modang people of Borneo, primarily in East Kalimantan, Indonesia.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f398f10819096342f3646cefcc2 completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb5782fc8190a56b714bbc007490 completed March 27, 2026, 6:24 p.m.
Created at: March 27, 2026, 1:43 p.m.