Triple
T28389305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayu culture |
E719105
|
entity |
| Predicate | culinaryAssociation |
P1016
|
FINISHED |
| Object | spicy cuisine of Chongqing |
—
|
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: spicy cuisine of Chongqing | Statement: [Bayu culture, culinaryAssociation, spicy cuisine of Chongqing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culinaryAssociation Context triple: [Bayu culture, culinaryAssociation, spicy cuisine of Chongqing]
-
A.
cuisine
Indicates the type or style of food traditionally associated with or served by an entity (such as a restaurant or region).
-
B.
culinaryUse
Indicates that one entity is used in the preparation, flavoring, or serving of food or drink for another entity.
-
C.
chef-lieu
Indicates that one place serves as the administrative capital or main seat of government for a specified territorial division.
-
D.
knownForDish
Indicates that an entity is recognized or notable for preparing, serving, or being associated with a particular dish.
-
E.
traditionalCuisine
chosen
Indicates that an entity is associated with the customary or historically rooted style of cooking and food preparation characteristic of a particular culture, region, or community.
- 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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64ceac7d48190be9d0929bcafd4bb |
completed | May 2, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 1:12 a.m.