Triple
T30015669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xuanwei |
E762587
|
entity |
| Predicate | hasNotableFoodProduct |
P201606
|
FINISHED |
| Object | dry-cured ham |
—
|
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: dry-cured ham | Statement: [Xuanwei, hasNotableFoodProduct, dry-cured ham]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableFoodProduct Context triple: [Xuanwei, hasNotableFoodProduct, dry-cured ham]
-
A.
isNonFoodProduct
Indicates that the referenced item is classified as a product that is not intended for consumption as food.
-
B.
hasNotableBrandAssociation
Indicates that there is a significant, recognizable, or influential brand linked or connected to the subject entity.
-
C.
hasNotableFeature
Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
-
D.
hasStapleFood
Indicates that an entity’s primary or regularly consumed basic food item is another specified entity.
-
E.
doesNotProduce
Indicates that one entity fails to generate, create, or yield another entity or outcome.
- 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_69f2246b0c84819094f1250b6a02d277 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a000be59ad88190a6aa3a42c097796d |
completed | May 10, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_6a000ab6e9bc81908300b81d004e5921 |
completed | May 10, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_6a000be4d3f48190bdecd0a044a0e453 |
completed | May 10, 2026, 4:39 a.m. |
Created at: April 29, 2026, 6:45 p.m.