Triple
T32293512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barrackpore, Trinidad and Tobago |
E825026
|
entity |
| Predicate | localCuisineInfluence |
P39848
|
FINISHED |
| Object | Indian cuisine |
—
|
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: Indian cuisine | Statement: [Barrackpore, Trinidad and Tobago, localCuisineInfluence, Indian cuisine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localCuisineInfluence Context triple: [Barrackpore, Trinidad and Tobago, localCuisineInfluence, Indian cuisine]
-
A.
cuisineInfluence
chosen
Indicates that one cuisine has had a notable impact on the development, style, or characteristics of another cuisine.
-
B.
regionOfCulinaryImportance
Indicates that a location is recognized for its significant culinary relevance, such as notable food traditions, specialties, or gastronomic culture.
-
C.
foodCulture
Indicates the relationship between a place or group and its characteristic traditions, practices, and preferences surrounding food and eating.
-
D.
includesRegionalCuisine
Indicates that one entity incorporates or features the regional cuisine associated with another entity.
-
E.
tasteInfluence
Indicates how one entity’s characteristics, actions, or presence affect or shape another entity’s preferences, likes, or aesthetic tastes.
- 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 12:44 a.m.