Triple

T1945905
Position Surface form Disambiguated ID Type / Status
Subject Austroasiatic E42054 entity
Predicate hasLanguage P15 FINISHED
Object Mundari language E201634 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: Mundari language | Statement: [Austroasiatic, hasLanguage, Mundari language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mundari language
Context triple: [Austroasiatic, hasLanguage, Mundari language]
  • A. Mundari chosen
    Mundari is an Austroasiatic Munda language of eastern India, spoken primarily by the Munda people in states such as Jharkhand, Odisha, and West Bengal.
  • B. Mandar language
    Mandar is an Austronesian language spoken primarily by the Mandar people along the western coast of Sulawesi in Indonesia.
  • C. North Munda languages
    North Munda languages are a branch of the Austroasiatic language family spoken primarily in eastern and central India by various indigenous communities, including speakers of Santhali.
  • D. Banda-Linda language
    The Banda-Linda language is a Banda language spoken by the Banda-Linda people of the Central African Republic.
  • E. Mambae language
    The Mambae language is an Austronesian language spoken primarily in East Timor, notable for its role in local identity and traditional culture.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb300af2481908ae359972843c1ef completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbbcc5688190aad081dc8d119e7f completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.