Triple
T29673685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney Casual Table-Service Dining category |
E750742
|
entity |
| Predicate | typicalMealDuration |
P203324
|
FINISHED |
| Object | longer than quick-service meals |
—
|
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: longer than quick-service meals | Statement: [Disney Casual Table-Service Dining category, typicalMealDuration, longer than quick-service meals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMealDuration Context triple: [Disney Casual Table-Service Dining category, typicalMealDuration, longer than quick-service meals]
-
A.
typicalServingTime
Indicates the usual or standard time at which an event, service, or item is typically provided or made available.
-
B.
typicalDurationMinutes
chosen
Indicates the usual or expected length of time, measured in minutes, that an event, activity, or process typically lasts.
-
C.
typicalCookingTime
Indicates the usual duration required to cook something under standard or commonly accepted conditions.
-
D.
typicalBoutLength
Indicates the usual or characteristic duration of a single bout or episode of an activity or behavior.
-
E.
typicalMealStructure
Indicates the usual sequence and composition of courses or components that make up a standard meal.
- 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_69f0d624d7b08190ba237d226f78d0d9 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a020ec13d808190b41acdc31adc4191 |
completed | May 11, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_6a020d9259c08190ad0370091c23ea8a |
completed | May 11, 2026, 5:10 p.m. |
Created at: April 28, 2026, 7:06 p.m.