Triple
T23520722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tang sancai ceramics |
E574498
|
entity |
| Predicate | commonForms |
P12789
|
FINISHED |
| Object | horse figurines |
—
|
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: horse figurines | Statement: [Tang sancai ceramics, commonForms, horse figurines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonForms Context triple: [Tang sancai ceramics, commonForms, horse figurines]
-
A.
formsFor
Indicates that one entity constitutes the physical or structural makeup of another entity.
-
B.
formsIn
Indicates that one entity takes shape, develops, or comes into existence within or inside another entity.
-
C.
typicalForm
chosen
Indicates that one entity represents the standard, characteristic, or most common form or shape in which another entity typically appears or is realized.
-
D.
formsFrom
Indicates that one entity is created, derived, or takes shape as a result of another entity.
-
E.
standardFormUsedIn
Indicates that a particular standard form is employed or applied within a given context, process, or system.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa85cb2c81908afbd0df0caeef4d |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:08 p.m.