Triple

T1252027
Position Surface form Disambiguated ID Type / Status
Subject Batanic languages E26896 entity
Predicate hasMember P10 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: [Batanic languages, hasMember, Tao language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tao language
Context triple: [Batanic languages, hasMember, 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. Thao language chosen
    Thao language is an endangered Formosan language of central Taiwan, traditionally spoken by the Thao people around Sun Moon Lake.
  • C. Fang language
    Fang is a Bantu language spoken primarily by the Fang people of Equatorial Guinea, Gabon, and Cameroon, notable for its significant influence on local varieties of Spanish and French.
  • D. Mono language
    Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
  • E. Tiv language
    Tiv language is a Southern Bantoid language of the Benue–Congo family spoken predominantly by the Tiv people of central Nigeria and parts of Cameroon.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf85e1e08190ba6aac3fcd8bb3e7 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93c66bf881908f4b63548341178e completed March 7, 2026, 9:08 p.m.
Created at: March 1, 2026, 7:47 p.m.