Triple

T27766843
Position Surface form Disambiguated ID Type / Status
Subject 客家人 E701622 entity
Predicate 文化特征 P66792 FINISHED
Object 客家文化 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: 客家文化 | Statement: [客家人, 文化特征, 客家文化]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 文化特征
Context triple: [客家人, 文化特征, 客家文化]
  • A. cultureCharacteristic chosen
    Indicates that a particular trait, practice, or feature is a defining characteristic of a given culture.
  • B. culturalType
    Indicates the classification of something according to its cultural category, style, or tradition.
  • C. hasCulturalFeature
    Indicates that an entity possesses, includes, or is characterized by a particular cultural element, attribute, or landmark.
  • D. culturalElements
    Indicates a relationship where certain elements (such as practices, symbols, or artifacts) belong to, express, or characterize a particular culture or cultural context.
  • E. culturalLayer
    Indicates the relationship in which something belongs to, originates from, or is associated with a particular cultural stratum, tradition, or level within a culture.
  • 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_69ef6a52fa708190934a32308d2c92dc completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f637939be0819082653d4115cd1be1 completed May 2, 2026, 5:42 p.m.
PD Predicate disambiguation batch_69f63188e7408190af8ce8b93d128c63 completed May 2, 2026, 5:16 p.m.
Created at: April 27, 2026, 4:31 p.m.