Triple
T17180074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wang Da-hong |
E416957
|
entity |
| Predicate | integratedElement |
P15157
|
FINISHED |
| Object | traditional Chinese courtyard concepts |
—
|
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: traditional Chinese courtyard concepts | Statement: [Wang Da-hong, integratedElement, traditional Chinese courtyard concepts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: integratedElement Context triple: [Wang Da-hong, integratedElement, traditional Chinese courtyard concepts]
-
A.
integratedStructure
Indicates that multiple components are combined into a single, cohesive structure that functions as an integrated whole.
-
B.
integratedIn
chosen
Indicates that one entity is incorporated as a component or part within a larger system, structure, or context represented by another entity.
-
C.
interactiveElement
Indicates that one entity functions as an interface component designed to receive and respond to user actions initiated by another entity.
-
D.
componentElement
Indicates that one entity is a constituent or part of another, larger entity or structure.
-
E.
integratedFrom
Indicates that something has been formed or constructed by combining or incorporating elements originating from another source.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc10afb48190a71f4a46f0280a14 |
completed | April 18, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.