Triple

T7671690
Position Surface form Disambiguated ID Type / Status
Subject Tibeto-Burman languages E173762 entity
Predicate includesLanguage P2177 FINISHED
Object Yi E205542 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: Yi | Statement: [Tibeto-Burman languages, includesLanguage, Yi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yi
Context triple: [Tibeto-Burman languages, includesLanguage, Yi]
  • A. Yi
    Yi is a common Chinese given name shared by numerous historical and contemporary figures across politics, arts, and other fields.
  • B. Yi chosen
    The Yi are one of China’s largest ethnic minority groups, with a distinct Tibeto-Burman language, traditional dress, and rich folk culture concentrated mainly in the mountainous regions of southwest China.
  • C. Daehan Minguk
    Daehan Minguk is the Korean name for the Republic of Korea, the East Asian nation commonly known as South Korea.
  • D. Nam-ku
    Nam-ku is the McCune–Reischauer romanization of Nam District, an administrative district in the city of Busan, South Korea.
  • E. Jin
    Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701dd3c808190990e07ced94b3297 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a229dd348190b9a781b4d34d7b5b completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4 p.m.