Triple
T23575119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhenjiang vinegar |
E580230
|
entity |
| Predicate | notableBrandRegion |
P80120
|
FINISHED |
| Object | Zhenjiang City |
—
|
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: Zhenjiang City | Statement: [Zhenjiang vinegar, notableBrandRegion, Zhenjiang City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableBrandRegion Context triple: [Zhenjiang vinegar, notableBrandRegion, Zhenjiang City]
-
A.
brandInNorthAmerica
Indicates that a brand operates, is available, or has a presence within the North American region.
-
B.
notableBrandElement
Indicates that one entity is a significant or distinguishing brand-related feature, component, or asset of another entity.
-
C.
operatesBrandInRegion
Indicates that an entity manages or runs a specific brand within a particular geographic region.
-
D.
brandingRegion
chosen
Indicates the geographic or market area in which a particular brand identity, presentation, or strategy is applied or recognized.
-
E.
notableManufacturer
Indicates that an entity is a well-known or prominent producer or maker of another entity.
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd5a7e88190ba348d58e552bd3c |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:38 p.m.