Triple
T29917468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 中元節 |
E759825
|
entity |
| Predicate | 所屬文化 |
P145610
|
FINISHED |
| Object | 中華文化 |
—
|
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: 中華文化 | Statement: [中元節, 所屬文化, 中華文化]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所屬文化 Context triple: [中元節, 所屬文化, 中華文化]
-
A.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
B.
hasAssociatedCulture
Indicates that an entity is related to, influenced by, or characterized by a particular culture.
-
C.
isPartOfCulturalDomain
chosen
Indicates that something belongs to, falls within, or is associated with a particular cultural sphere, tradition, or domain.
-
D.
culturalCategory
Indicates that one entity classifies or groups another entity according to a particular culture, tradition, or culturally defined type.
-
E.
culturalIdentifier
Indicates that one entity serves as a marker, label, or attribute that identifies or characterizes the cultural affiliation, background, or context of another entity.
- 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f677907930819081cd718537fdaf4a |
completed | May 2, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:13 p.m.