Triple
T1793999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China (album) |
E39562
|
entity |
| Predicate | usesMotifsFrom |
P31989
|
FINISHED |
| Object | traditional Chinese music |
—
|
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 music | Statement: [China (album), usesMotifsFrom, traditional Chinese music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMotifsFrom Context triple: [China (album), usesMotifsFrom, traditional Chinese music]
-
A.
primaryMotif
Indicates that one entity serves as the main recurring theme or dominant motif associated with another entity.
-
B.
reverseMotif
Indicates that one motif is the reversed or inverted form of another motif in structure, order, or direction.
-
C.
usesMotto
Indicates that one entity adopts or employs a particular motto as its guiding phrase or slogan.
-
D.
museOf
Indicates that one entity serves as the source of artistic or intellectual inspiration for another.
-
E.
usesMatchesFrom
Indicates that one entity relies on or incorporates matches (e.g., pattern matches, rule matches, or result matches) produced by another entity or process.
- F. None of above. chosen
Provenance (4 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab61b6ea188190aab9fb839bf1e367 |
completed | March 6, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69aa61d2f7a8819090301f92d3e358c7 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab61b5c8988190bb2b46182a4eb5b4 |
completed | March 6, 2026, 11:22 p.m. |
Created at: March 4, 2026, 7:32 p.m.