Triple
T12722959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akita Kanto Festival |
E304029
|
entity |
| Predicate | daytimeEventType |
P54452
|
FINISHED |
| Object | kanto skill demonstrations |
—
|
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: kanto skill demonstrations | Statement: [Akita Kanto Festival, daytimeEventType, kanto skill demonstrations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: daytimeEventType Context triple: [Akita Kanto Festival, daytimeEventType, kanto skill demonstrations]
-
A.
day1Event
Indicates that an event occurs on or is associated with the first day of a specified period or sequence.
-
B.
weekendEvent
Indicates that an event occurs during the weekend period (typically Saturday and/or Sunday).
-
C.
timeOfDayMainEvents
chosen
Indicates the primary time(s) of day during which the main events or activities occur.
-
D.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
E.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:24 p.m.