Triple

T8444897
Position Surface form Disambiguated ID Type / Status
Subject Ho language E199648 entity
Predicate family P566 FINISHED
Object Munda E167985 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 | Statement: [Ho language, family, Munda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munda
Context triple: [Ho language, family, Munda]
  • A. Munda chosen
    Munda are an indigenous Adivasi community of eastern India known for their distinct Austroasiatic language, rich tribal culture, and historical resistance to colonial rule.
  • B. Munda
    Munda is a town and former World War II airfield site on New Georgia Island in the Western Province of the Solomon Islands.
  • C. Sicel
    Sicel was an ancient Indo-European language once spoken by the Sicel people in eastern Sicily before the dominance of Latin and Greek in the region.
  • D. Casca
    Casca was one of the leading conspirators in the assassination of Julius Caesar, remembered for being among the first to strike during the attack in the Roman Senate.
  • E. Orgetorix
    Orgetorix was a powerful Helvetian noble and conspirator in the 1st century BCE who led an ambitious but ultimately thwarted attempt to organize his tribe’s mass migration and seize greater power in Gaul.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe3138ee08190918cd82adbe2d9a1 completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dac8cb08190b74985a6ba3c938f completed April 2, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:09 p.m.