Triple
T32706363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogura toast |
E836281
|
entity |
| Predicate | typicalTimeOfConsumption |
P6833
|
FINISHED |
| Object | morning |
—
|
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: morning | Statement: [Ogura toast, typicalTimeOfConsumption, morning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTimeOfConsumption Context triple: [Ogura toast, typicalTimeOfConsumption, morning]
-
A.
typicalConsumption
Indicates the usual or characteristic amount or pattern in which one entity consumes or uses another.
-
B.
typicalTimes
chosen
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
-
C.
consumptionTime
Indicates the amount of time required for an entity to be consumed, used up, or completed.
-
D.
commonlyConsumedAt
Indicates that one entity is typically eaten or drunk during, or in association with, a particular time, event, or context.
-
E.
typicalConsumptionAge
Indicates the age at which something is most commonly or normally consumed.
- 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:10 a.m.