Triple

T5580064
Position Surface form Disambiguated ID Type / Status
Subject Tao people E146617 entity
Predicate language P15 FINISHED
Object Tao language E138020 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: Tao language | Statement: [Tao people, language, Tao language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tao language
Context triple: [Tao people, language, Tao language]
  • A. Tat language
    Tat language is an endangered Southwestern Iranian language spoken primarily by the Tat people of Azerbaijan and neighboring regions, distinct from but related to Judeo-Tat.
  • B. Tanacross language
    The Tanacross language is an endangered Northern Athabaskan language traditionally spoken by the Tanacross people of eastern Interior Alaska.
  • C. Thao language chosen
    Thao language is an endangered Formosan language of central Taiwan, traditionally spoken by the Thao people around Sun Moon Lake.
  • D. Towa language
    Towa is a Native American language spoken by the Towa (Jemez) people of New Mexico and is part of the Puebloan language family.
  • E. Tujia language
    The Tujia language is a Sino-Tibetan language spoken primarily by the Tujia ethnic group in parts of central China, notably in mountainous areas of Hubei, Hunan, and neighboring provinces.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0206d62548190b8a3c6efc1825661 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0285baa648190bf8e94740ea62466 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:37 p.m.