Triple
T966795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makar Sankranti |
E20854
|
entity |
| Predicate | food |
P7171
|
FINISHED |
| Object | tilgul (sesame and jaggery sweets) |
—
|
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: tilgul (sesame and jaggery sweets) | Statement: [Makar Sankranti, food, tilgul (sesame and jaggery sweets)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: food Context triple: [Makar Sankranti, food, tilgul (sesame and jaggery sweets)]
-
A.
cuisine
Indicates the type or style of food traditionally associated with or served by an entity (such as a restaurant or region).
-
B.
diet
Indicates that an entity regularly consumes a particular type or range of food as its primary source of nutrition.
-
C.
feast
Indicates that an entity participates in or hosts a large, elaborate meal or celebration involving abundant food and communal dining.
-
D.
foodCustom
chosen
Indicates a culturally specific practice, rule, or tradition related to the preparation, serving, or consumption of food.
-
E.
primaryFood
Indicates that one entity serves as the main or most important food source for 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b43412488190b68e33d2b36a0ba3 |
completed | March 1, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a42c1481908d940cbe0aefdd3b |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.