Triple
T34320854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitakata |
E880730
|
entity |
| Predicate | ramenBrothType |
P67753
|
FINISHED |
| Object | shoyu (soy sauce) broth |
—
|
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: shoyu (soy sauce) broth | Statement: [Kitakata, ramenBrothType, shoyu (soy sauce) broth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ramenBrothType Context triple: [Kitakata, ramenBrothType, shoyu (soy sauce) broth]
-
A.
typicalBrothType
chosen
Indicates the kind of broth that is most commonly or traditionally used as the base for a given dish or preparation.
-
B.
noodleType
Indicates the specific kind or category of noodle associated with an entity.
-
C.
brothBase
Indicates that one item serves as the primary liquid or stock foundation (broth base) used to prepare or flavor another.
-
D.
brothCharacteristic
Indicates that one entity specifies a quality, feature, or attribute of a broth associated with another entity.
-
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_69f349b9cd508190a996a616903b3e6d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:57 a.m.