Triple

T6980894
Position Surface form Disambiguated ID Type / Status
Subject Tamanic languages E161840 entity
Predicate hasMember P10 FINISHED
Object Embaloh language E620512 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: Embaloh language | Statement: [Tamanic languages, hasMember, Embaloh language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Embaloh language
Context triple: [Tamanic languages, hasMember, Embaloh language]
  • A. Embaloh language chosen
    The Embaloh language is an Austronesian language spoken by the Embaloh people of West Kalimantan in Borneo, Indonesia.
  • B. Bidayuh language
    The Bidayuh language is an Austronesian language spoken by the Bidayuh people of western Borneo, particularly in the Malaysian state of Sarawak and parts of Indonesian Kalimantan.
  • C. Bima language
    Bima language is an Austronesian language spoken primarily on Sumbawa Island in Indonesia, known for its distinct grammar and vocabulary within the region.
  • D. Kalumpang language
    The Kalumpang language is an Austronesian language of Sulawesi, Indonesia, belonging to the South Sulawesi subgroup and closely associated with the Toraja linguistic area.
  • E. Betawi language
    Betawi language is an Austronesian language variety spoken primarily in Jakarta, Indonesia, known for blending Malay with influences from Javanese, Sundanese, Chinese, Arabic, and Dutch.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6c1efc8190ab1575ae2ce726db completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761c0ecd88190a684392aa6daf267 completed March 28, 2026, 5:06 a.m.
Created at: March 27, 2026, 2:31 p.m.