Triple

T21870521
Position Surface form Disambiguated ID Type / Status
Subject Toda E539987 entity
Predicate hasLanguage P15 FINISHED
Object Toda language NE NERFINISHED

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: Toda language | Statement: [Toda, hasLanguage, Toda language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toda language
Context triple: [Toda, hasLanguage, Toda language]
  • A. Toda language chosen
    The Toda language is a Dravidian language spoken by the indigenous Toda people of the Nilgiri Hills in southern India, known for its highly inflected grammar and endangered status.
  • B. Paraujano language
    The Paraujano language is an indigenous Arawakan (Maipurean) language historically spoken by the Paraujano people of northwestern Venezuela, now critically endangered or nearly extinct.
  • C. Warihío language
    The Warihío language is an indigenous Uto-Aztecan language spoken by the Warihío people of northwestern Mexico.
  • D. Opata language
    The Opata language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico, particularly in the present-day state of Sonora.
  • E. Tutelo language
    The Tutelo language is an extinct Siouan language once spoken by the Tutelo people in the eastern United States, particularly in present-day Virginia and West Virginia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33509d08190b33775abb84d5255 completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 6:57 p.m.