Triple
T30312727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | chicken tempura (toriten) |
E770969
|
entity |
| Predicate | batterCharacteristic |
P169393
|
FINISHED |
| Object | light batter |
—
|
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: light batter | Statement: [chicken tempura (toriten), batterCharacteristic, light batter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: batterCharacteristic Context triple: [chicken tempura (toriten), batterCharacteristic, light batter]
-
A.
eraCharacteristic
Indicates that a particular quality, feature, or attribute is characteristic of, or typically associated with, a given historical or temporal era.
-
B.
sonCharacteristic
Indicates that a son possesses or exhibits a particular characteristic or attribute in relation to something or someone.
-
C.
batter
Indicates that one entity physically strikes or beats another entity, typically with repeated or forceful blows.
-
D.
castCharacteristic
Indicates that a particular characteristic or attribute is associated with, or defines, a cast or group of performers.
-
E.
bearerStyleCharacteristic
Indicates that a bearer (such as a person or object) exhibits or is associated with a particular style-related characteristic.
- 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6816ceb688190b2e5f01205f3c550 |
completed | May 2, 2026, 10:57 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 7:50 p.m.