Triple

T30155433
Position Surface form Disambiguated ID Type / Status
Subject 长江 E766507 entity
Predicate 文化作用 P2008 FINISHED
Object 中华文明重要发源地之一 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: 中华文明重要发源地之一 | Statement: [长江, 文化作用, 中华文明重要发源地之一]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 文化作用
Context triple: [长江, 文化作用, 中华文明重要发源地之一]
  • A. 俗语影响
    Indicates that a proverb or common saying exerts an influence on someone or something, such as their thoughts, behavior, or decisions.
  • B. hasCulturalImpact chosen
    Indicates that one entity has influenced, shaped, or significantly affected the culture, values, practices, or artistic expressions of another.
  • C. hasCulturalFunction
    Indicates that something serves a particular role, purpose, or function within a culture or cultural context.
  • D. culturalType
    Indicates the classification of something according to its cultural category, style, or tradition.
  • E. culturalSector
    Indicates a relationship where something is part of, associated with, or operates within a specific cultural sector or domain.
  • 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_69f22479cd088190ab4c6f3fce39d1c5 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67ed72fb08190955d6bfd90dd3b8e completed May 2, 2026, 10:46 p.m.
PD Predicate disambiguation batch_69f673c7a4588190837854f3ef61e6bf completed May 2, 2026, 9:59 p.m.
Created at: April 29, 2026, 7:20 p.m.