Triple
T32726194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 英山云雾茶 |
E836808
|
entity |
| Predicate | 品质特点 |
P103513
|
FINISHED |
| Object | 汤色清亮 |
—
|
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: 汤色清亮 | Statement: [英山云雾茶, 品质特点, 汤色清亮]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 品质特点 Context triple: [英山云雾茶, 品质特点, 汤色清亮]
-
A.
producerCharacteristic
Indicates a relationship where a producer is associated with a particular attribute, quality, or trait that characterizes them or their production.
-
B.
valueCharacteristic
Indicates that one entity serves as a value or specific quantitative/qualitative measure that characterizes or describes another entity.
-
C.
catalogCharacteristic
Indicates that a catalog has a specific characteristic or attribute associated with it.
-
D.
productCharacteristic
chosen
Indicates that a product possesses, exhibits, or is defined by a specific characteristic or attribute.
-
E.
entityCharacteristic
Indicates that an entity possesses, exhibits, or is defined by a particular characteristic or attribute.
- 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_69f34935fb048190ad4967420581f835 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8b80b508190b03c5a5859c695fe |
completed | May 3, 2026, 4:02 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:11 a.m.