Triple
T18264888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 汉江 |
E437456
|
entity |
| Predicate | 文化影响 |
P2008
|
FINISHED |
| Object | 为“汉”族与“汉”文化命名提供地理依据之一 |
—
|
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: 为“汉”族与“汉”文化命名提供地理依据之一 | Statement: [汉江, 文化影响, 为“汉”族与“汉”文化命名提供地理依据之一]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 文化影响 Context triple: [汉江, 文化影响, 为“汉”族与“汉”文化命名提供地理依据之一]
-
A.
文化的評価
Indicates an assessment or judgment of something based on cultural values, norms, or standards.
-
B.
hasCulturalImpact
chosen
Indicates that one entity has influenced, shaped, or significantly affected the culture, values, practices, or artistic expressions of another.
-
C.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
D.
culturalSphere
Indicates that one entity belongs to, is influenced by, or participates in the cultural domain, tradition, or milieu defined by another entity.
-
E.
regionOfCulturalImpact
Indicates the geographic area where an entity’s cultural influence, activities, or effects are most significantly felt or observed.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff79851481909a4bbeb14fb00647 |
completed | April 19, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:34 a.m.