Triple
T38660013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bashu |
E940003
|
entity |
| Predicate | hasTraditionalPerformance |
P10229
|
FINISHED |
| Object | Sichuan opera |
—
|
NE NERFINISHED |
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: Sichuan opera | Statement: [Bashu, hasTraditionalPerformance, Sichuan opera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalPerformance Context triple: [Bashu, hasTraditionalPerformance, Sichuan opera]
-
A.
hasPerformanceConvention
Indicates that there is an agreed-upon set of rules, norms, or standards governing how a particular performance or activity should be carried out.
-
B.
performanceTradition
chosen
Indicates a relationship where a performance is carried out according to a specific cultural, historical, or stylistic tradition.
-
C.
hasTraditionalValue
Indicates that something embodies, reflects, or is associated with long-established customs, norms, or cultural values.
-
D.
hasLivePerformanceTradition
Indicates that there exists an established custom or practice of performing the subject live, typically before an audience.
-
E.
hasTraditionalFeatures
Indicates that something possesses characteristics or attributes commonly associated with established traditions or customary practices.
- 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_69f76ede49648190a48bfe47032a05a3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0075be7f54819081ab12bc1dab53bb |
completed | May 10, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_6a0073a19030819098c23faa3adcb96e |
completed | May 10, 2026, 12:01 p.m. |
Created at: May 3, 2026, 4:33 p.m.