Triple
T24472514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Paz batchoy |
E617138
|
entity |
| Predicate | typicalNoodleType |
P91365
|
FINISHED |
| Object | miki (fresh egg noodles) |
—
|
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: miki (fresh egg noodles) | Statement: [La Paz batchoy, typicalNoodleType, miki (fresh egg noodles)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalNoodleType Context triple: [La Paz batchoy, typicalNoodleType, miki (fresh egg noodles)]
-
A.
noodleType
chosen
Indicates the specific kind or category of noodle associated with an entity.
-
B.
typicalBunType
Indicates the type of bun that is most commonly or characteristically used with a given item (such as a sandwich or burger).
-
C.
typicalNoodleDonenessOptions
Indicates the usual or standard levels of doneness that noodles are commonly cooked to.
-
D.
キャンパスタイプ
Indicates the type or category of campus associated with an entity (e.g., main campus, satellite campus, online campus).
-
E.
typicalBrothType
Indicates the kind of broth that is most commonly or traditionally used as the base for a given 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_69e2d7f197588190889a03e620558059 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29944bea081908f8a732495d67cfc |
completed | April 29, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69f287d76c7c81909494f12e606a9149 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:20 a.m.