Triple
T18693099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puneri Misal |
E457047
|
entity |
| Predicate | typicalSpiceLevel |
P34515
|
FINISHED |
| Object | medium to high |
—
|
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: medium to high | Statement: [Puneri Misal, typicalSpiceLevel, medium to high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSpiceLevel Context triple: [Puneri Misal, typicalSpiceLevel, medium to high]
-
A.
hasSpiciness
chosen
Indicates that one entity possesses a certain level or quality of spiciness in relation to another entity or a defined scale.
-
B.
typicalSweetnessLevel
Indicates the usual or characteristic degree of sweetness associated with something.
-
C.
hasTasteIntensity
Indicates the degree or strength of taste associated with something.
-
D.
typicalSauceConsistency
Indicates that something has the usual or characteristic thickness or texture expected of a sauce.
-
E.
typicalSpices
Indicates that certain spices are commonly or characteristically used in association with a particular dish, cuisine, or ingredient.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e581f48190997d279296a31e7f |
completed | April 19, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.