Triple
T9692615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ancient Chinese Bronze Art |
E234569
|
entity |
| Predicate | mediumOfObjectsDisplayed |
P47681
|
FINISHED |
| Object | bronze |
—
|
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: bronze | Statement: [The Ancient Chinese Bronze Art, mediumOfObjectsDisplayed, bronze]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumOfObjectsDisplayed Context triple: [The Ancient Chinese Bronze Art, mediumOfObjectsDisplayed, bronze]
-
A.
mediumDisplayed
Indicates that a particular medium (such as an image, video, or document) is being shown or rendered in a given context or interface.
-
B.
mediumAppearance
Indicates that an entity appears in or is featured within a particular medium (such as a work, format, or communication channel).
-
C.
displayCount
Indicates the number of times something is shown or presented, typically within a given context or interface.
-
D.
mediumSupport
Indicates that one entity provides a moderate or intermediate level of support or assistance to another entity.
-
E.
exhibitionMedium
chosen
Indicates the material or format through which something is exhibited or displayed.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d05d70c8190b1ddcd24b50b4f50 |
completed | April 1, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b840f081909f66bf0b66d17d9b |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:17 p.m.