Triple
T9970982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hakata ramen |
E196202
|
entity |
| Predicate | brothTexture |
P91363
|
FINISHED |
| Object | creamy |
—
|
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: creamy | Statement: [Hakata ramen, brothTexture, creamy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brothTexture Context triple: [Hakata ramen, brothTexture, creamy]
-
A.
brothBase
Indicates that one item serves as the primary liquid or stock foundation (broth base) used to prepare or flavor another.
-
B.
typicalBrothType
Indicates the kind of broth that is most commonly or traditionally used as the base for a given dish or preparation.
-
C.
meatType
Indicates the specific category or kind of meat associated with an entity.
-
D.
typicalMeat
Indicates that something is commonly or characteristically used or regarded as meat in a given context.
-
E.
meatPreparation
Indicates the method or process by which meat is treated, cooked, or otherwise prepared for consumption.
- F. None of above. chosen
Provenance (4 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b96b1c8190b9d3c1171346615a |
completed | April 2, 2026, 12:26 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:48 p.m.