Triple
T15374089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chenghua doucai porcelain |
E367621
|
entity |
| Predicate | valuationAspect |
P96882
|
FINISHED |
| Object | quality of enamels |
—
|
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: quality of enamels | Statement: [Chenghua doucai porcelain, valuationAspect, quality of enamels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valuationAspect Context triple: [Chenghua doucai porcelain, valuationAspect, quality of enamels]
-
A.
evaluationAspect
chosen
Indicates the specific dimension or criterion of performance or quality that is being assessed within an evaluation.
-
B.
valuationDescription
Indicates that a textual explanation or narrative is provided describing how an entity has been valued or appraised.
-
C.
evaluationBasis
Indicates the criteria, standards, or reference framework used to judge, assess, or measure something in an evaluation process.
-
D.
critiquesAspect
Indicates that one entity evaluates and expresses critical judgment about a particular aspect or component of another entity.
-
E.
evaluationModel
Indicates a relationship where one entity serves as a model, standard, or framework used to assess, judge, or measure the performance or quality 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5d6f808190b0a4cdb35dc89e69 |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ded27742a881909cd73cc5c7d062fd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:18 a.m.