Triple

T27968278
Position Surface form Disambiguated ID Type / Status
Subject 畲族 E704784 entity
Predicate 语言系属 P10465 FINISHED
Object 汉藏语系 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: 汉藏语系 | Statement: [畲族, 语言系属, 汉藏语系]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 语言系属
Context triple: [畲族, 语言系属, 汉藏语系]
  • A. linguisticClassification chosen
    Indicates the relationship by which an entity is categorized according to its language or linguistic type.
  • B. linguisticClassificationBasis
    Indicates the criterion or principle used as the basis for classifying something within a linguistic system or framework.
  • C. glottoCategory
    Indicates the linguistic classification or type (such as language family, subgroup, or category) to which a language or dialect is assigned.
  • D. studiesLanguageFamily
    Indicates that an entity engages in the academic or systematic study of a particular language family.
  • E. 宗派言語
    Indicates a relationship where a particular language is used or associated as the doctrinal or liturgical language of a specific religious sect or denomination.
  • 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_69ef841061e48190b5570f9562f7434d completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f63b3337748190ae03ce1742a31d22 completed May 2, 2026, 5:58 p.m.
PD Predicate disambiguation batch_69f63710d17c819084cfe96e6df334fd completed May 2, 2026, 5:40 p.m.
Created at: April 27, 2026, 7:36 p.m.