Triple

T9051653
Position Surface form Disambiguated ID Type / Status
Subject Palaungic E216897 entity
Predicate hasLanguage P15 FINISHED
Object Angku language E775497 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: Angku language | Statement: [Palaungic, hasLanguage, Angku language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angku language
Context triple: [Palaungic, hasLanguage, Angku language]
  • A. Angkuic languages chosen
    The Angkuic languages are a subgroup of Austroasiatic languages spoken primarily in parts of Myanmar, China, and neighboring regions, known for their complex phonology and close relation to other Palaungic languages.
  • B. Angkola language
    Angkola language is an Austronesian language of the Batak group spoken primarily by the Angkola people in North Sumatra, Indonesia.
  • C. Adang language
    Adang language is a Papuan language spoken by the Adang people on Alor Island in Indonesia’s Alor archipelago.
  • D. Anuak language
    The Anuak language is a Nilotic language spoken primarily by the Anuak people of western Ethiopia and eastern South Sudan.
  • E. Ngaju language
    The Ngaju language is an Austronesian language spoken primarily by the Ngaju Dayak people of central Kalimantan in Indonesian Borneo.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a700de48190aa9f61d850e01cbd completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffdbd54848190ba79d873321f4fc9 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:10 p.m.