Triple

T7306469
Position Surface form Disambiguated ID Type / Status
Subject Ho E167986 entity
Predicate languageSubfamily P1967 FINISHED
Object Munda languages E666246 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: Munda languages | Statement: [Ho, languageSubfamily, Munda languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munda languages
Context triple: [Ho, languageSubfamily, Munda languages]
  • A. Munda languages chosen
    Munda languages are a branch of the Austroasiatic language family spoken primarily by indigenous communities in eastern and central India.
  • B. Muna–Buton languages
    The Muna–Buton languages are a subgroup of Austronesian languages spoken primarily in southeastern Sulawesi and nearby islands in Indonesia.
  • C. Moru–Madi languages
    The Moru–Madi languages are a subgroup of related Central Sudanic languages spoken primarily in South Sudan, Uganda, and the Democratic Republic of the Congo.
  • D. Tebu languages
    The Tebu languages are a group of closely related Saharan languages spoken primarily by the Tebu people across parts of Chad, Niger, and Libya.
  • E. Pearic languages
    Pearic languages are a small, endangered branch of the Austroasiatic language family spoken by indigenous Pearic communities in Cambodia and nearby regions.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebd7dcf88190b3e66bea327fc63d completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c43f24881908a434773dfd79892 completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 3:01 p.m.