Triple
T169589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okonomiyaki |
E3088
|
entity |
| Predicate | isTurnedWith |
P2506
|
FINISHED |
| Object | metal spatulas |
—
|
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: metal spatulas | Statement: [Okonomiyaki, isTurnedWith, metal spatulas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTurnedWith Context triple: [Okonomiyaki, isTurnedWith, metal spatulas]
-
A.
isOn
Indicates that one entity is physically positioned above and in contact with the top surface of another entity.
-
B.
hasSpin
Indicates that one entity possesses or exhibits rotational motion or angular momentum.
-
C.
turningPointIn
Indicates that an event or situation serves as a decisive change or pivotal moment within a larger process, narrative, or development.
-
D.
isUsedAs
chosen
Indicates that one entity serves a particular function, role, or purpose as another entity.
-
E.
isAbout
Indicates that one entity has as its subject, focus, or primary concern the content, topic, or theme represented by another entity.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a258b6f4f88190b1264bbbeb19a29e |
completed | Feb. 28, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69a25665f5b8819096ca3e084faf976e |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.