Triple
T4573610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Day International |
E123091
|
entity |
| Predicate | spectatorFormat |
P57807
|
FINISHED |
| Object | day or day-night |
—
|
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: day or day-night | Statement: [One Day International, spectatorFormat, day or day-night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spectatorFormat Context triple: [One Day International, spectatorFormat, day or day-night]
-
A.
spectatorType
Indicates the role or category of a spectator in relation to an event or activity.
-
B.
spectatorSport
Indicates that an activity is primarily performed for the enjoyment of an audience watching rather than for direct participation.
-
C.
hasSpectators
Indicates that an event, activity, or occurrence is being watched or attended by one or more spectators.
-
D.
spectatorAreaType
Indicates the specific kind or category of area designated for spectators in a venue or event setting.
-
E.
spectatorsInBubbleGames
Indicates that the games played within a controlled "bubble" environment had spectators present.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c89a5c81909a78bf0ac64777ad |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5227063c8190973155a875b013a7 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:10 p.m.