Triple

T7945749
Position Surface form Disambiguated ID Type / Status
Subject Tujia people E184494 entity
Predicate language P15 FINISHED
Object Tujia language E184498 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: Tujia language | Statement: [Tujia people, language, Tujia language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tujia language
Context triple: [Tujia people, language, Tujia language]
  • A. Tujia language chosen
    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.
  • B. Kangjia language
    The Kangjia language is a lesser-known Mongolic language spoken by the Kangjia people in parts of northwestern China.
  • C. Tigak language
    The Tigak language is an Austronesian language spoken by the Tigak people of New Ireland Province in Papua New Guinea.
  • D. Tyap language
    Tyap language is a Plateau language of the Niger-Congo family spoken predominantly by the Atyap people in southern Kaduna State, Nigeria.
  • E. Jiarong language
    The Jiarong language is a Sino-Tibetan language spoken primarily by the Rgyalrong (Jiarong) people of Sichuan, China, noted for its complex phonology and morphology.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b285d3881909b2ac0b395538a8a completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe02faa308190aeba83cc6cb96153 completed March 31, 2026, 2:54 p.m.
Created at: March 30, 2026, 5:09 p.m.