Triple
T7045112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onam |
E163611
|
entity |
| Predicate | numberOfDishesInSadhya |
P22006
|
FINISHED |
| Object | varies from about 9 to over 20 |
—
|
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: varies from about 9 to over 20 | Statement: [Onam, numberOfDishesInSadhya, varies from about 9 to over 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDishesInSadhya Context triple: [Onam, numberOfDishesInSadhya, varies from about 9 to over 20]
-
A.
servesDish
Indicates that one entity prepares and presents a specific dish as food for another entity.
-
B.
numberOfPadarthas
chosen
Indicates the relationship that specifies how many distinct padarthas (categories or entities) are associated with or contained in a given subject.
-
C.
numberOfSutras
Indicates the quantity or count of sutras associated with a given entity.
-
D.
numberOfSkandhas
Indicates the relationship that specifies how many skandhas (aggregates) are associated with a given entity or concept.
-
E.
numberOfGreatFeasts
Indicates the total count of great feasts associated with or observed by an 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bb602081908bfa6186a1f5a4b4 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:37 p.m.