Triple
T27808754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teochew beef hotpot |
E702461
|
entity |
| Predicate | brothSeasoning |
P137544
|
FINISHED |
| Object | white pepper |
—
|
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: white pepper | Statement: [Teochew beef hotpot, brothSeasoning, white pepper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brothSeasoning Context triple: [Teochew beef hotpot, brothSeasoning, white pepper]
-
A.
seasoningType
chosen
Indicates the specific kind or category of seasoning associated with an item or preparation.
-
B.
brothBase
Indicates that one item serves as the primary liquid or stock foundation (broth base) used to prepare or flavor another.
-
C.
brothCharacteristic
Indicates that one entity specifies a quality, feature, or attribute of a broth associated with another entity.
-
D.
seasoningStyle
Indicates the characteristic way in which an item is flavored or seasoned, such as the method, intensity, or cultural style of its seasoning.
-
E.
brothColor
Indicates the color characteristic of a broth in a dish or preparation.
- 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 5:41 p.m.