Triple
T29049616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alentejo pork products |
E735229
|
entity |
| Predicate | mainSpices |
P44787
|
FINISHED |
| Object | garlic |
—
|
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: garlic | Statement: [Alentejo pork products, mainSpices, garlic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSpices Context triple: [Alentejo pork products, mainSpices, garlic]
-
A.
typicalSpices
Indicates that certain spices are commonly or characteristically used in association with a particular dish, cuisine, or ingredient.
-
B.
commonSpicesInPithla
Indicates that the specified items are spices typically used in preparing the dish pithla.
-
C.
seasoningType
Indicates the specific kind or category of seasoning associated with an item or preparation.
-
D.
hasSpice
chosen
Indicates that one entity contains, includes, or is characterized by a particular spice or set of spices.
-
E.
seasoningStyle
Indicates the characteristic way in which an item is flavored or seasoned, such as the method, intensity, or cultural style of its seasoning.
- 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_69f077e64b88819094d37bdbca8191b3 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 28, 2026, 10:07 a.m.