Triple

T27416645
Position Surface form Disambiguated ID Type / Status
Subject Hunan Shida E692912 entity
Predicate ChineseFullName P6283 FINISHED
Object 湖南师范大学 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: 湖南师范大学 | Statement: [Hunan Shida, ChineseFullName, 湖南师范大学]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ChineseFullName
Context triple: [Hunan Shida, ChineseFullName, 湖南师范大学]
  • A. fullNameInChineseGivenName
    Indicates that the entity’s full name, when written in Chinese, is ordered with the given name first.
  • B. ChineseNameTraditional
    Indicates that an entity’s name is given in traditional Chinese characters.
  • C. ChineseNameSimplified chosen
    Indicates that an entity’s name is given in simplified Chinese characters.
  • D. correspondsToChineseSurname
    Indicates that one entity is the Chinese surname equivalent or counterpart of another entity.
  • E. courtesyNameChinese
    Indicates that one entity is the Chinese courtesy name (zì) traditionally adopted by a person, typically in adulthood, as an alternative to their given name.
  • 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_69ef5208617081908f731d312e0fd1bc completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d1a8c948190ab8629e1349a156f completed May 2, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69f623aaf40081909f947431424a1d55 completed May 2, 2026, 4:17 p.m.
Created at: April 27, 2026, 12:34 p.m.