Triple
T30015676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xuanwei |
E762587
|
entity |
| Predicate | hamProducedIn |
P25598
|
FINISHED |
| Object | Xuanwei |
—
|
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: Xuanwei | Statement: [Xuanwei, hamProducedIn, Xuanwei]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hamProducedIn Context triple: [Xuanwei, hamProducedIn, Xuanwei]
-
A.
notableMeatProduct
chosen
Indicates that one entity is a meat-based product that is especially prominent, well-known, or significant in relation to the other entity.
-
B.
hasAbattoir
Indicates that one entity possesses, contains, or is the site of an abattoir (slaughterhouse) used for animal slaughter or meat processing.
-
C.
HamIs
Indicates that one entity is identified, classified, or equated as ham in relation to another entity.
-
D.
WurstmarktType
Indicates that an entity is classified as a specific type or category within the Wurstmarkt event or festival.
-
E.
containsPork
Indicates that something includes pork as one of its components or ingredients.
- 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_69f2246b0c84819094f1250b6a02d277 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f679844114819097242d623e723e4a |
completed | May 2, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:45 p.m.