Triple

T8158369
Position Surface form Disambiguated ID Type / Status
Subject Zhuang people E190509 entity
Predicate statusInChina P63019 FINISHED
Object largest ethnic minority LITERAL 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: largest ethnic minority | Statement: [Zhuang people, statusInChina, largest ethnic minority]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusInChina
Context triple: [Zhuang people, statusInChina, largest ethnic minority]
  • A. legalStatusInChina
    Indicates the legal status or standing that an entity holds under the laws and regulations of China.
  • B. statusInUnitedStates
    Indicates the legal or official standing that an entity holds within the jurisdiction of the United States.
  • C. ethnicStatusInChina chosen
    Indicates the ethnic classification or status that an entity holds within the sociopolitical context of China.
  • D. statusInRussia
    Indicates the legal, social, or operational condition or standing that something or someone has specifically within the context of Russia.
  • E. statusInSI
    Indicates that an entity’s status or condition is specified according to the International System of Units (SI) or an SI-based standard.
  • F. None of above.

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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb455213f08190a4327a2116c7381f completed March 31, 2026, 3:53 a.m.
PD Predicate disambiguation batch_69cb36a0847c8190af9038aef78319b3 completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:38 p.m.