Triple
T30410741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TeochewColdCrab |
E773611
|
entity |
| Predicate | hasSeasoningStyle |
P62832
|
FINISHED |
| Object | lightly seasoned |
—
|
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: lightly seasoned | Statement: [TeochewColdCrab, hasSeasoningStyle, lightly seasoned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeasoningStyle Context triple: [TeochewColdCrab, hasSeasoningStyle, lightly seasoned]
-
A.
seasoningStyle
chosen
Indicates the characteristic way in which an item is flavored or seasoned, such as the method, intensity, or cultural style of its seasoning.
-
B.
seasoningType
Indicates the specific kind or category of seasoning associated with an item or preparation.
-
C.
isTypicallyGarnishedWith
Indicates that one item is commonly used as a garnish or decorative finishing element for another.
-
D.
isSavory
Indicates that something has a salty, spicy, or umami-dominant taste rather than a sweet one.
-
E.
hasSpiciness
Indicates that one entity possesses a certain level or quality of spiciness in relation to another entity or a defined scale.
- 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_69f22490b8b48190ab10c886a8d58c89 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
Created at: April 29, 2026, 8:04 p.m.