Triple
T13474296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA softball |
E318210
|
entity |
| Predicate | standardGameLength |
P25945
|
FINISHED |
| Object | 7 innings |
—
|
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: 7 innings | Statement: [NCAA softball, standardGameLength, 7 innings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardGameLength Context triple: [NCAA softball, standardGameLength, 7 innings]
-
A.
gameLength
Indicates the duration or total length of a game, typically measured in time or turns.
-
B.
gameLengthRule
chosen
Indicates a rule that specifies how long a game is allowed or required to last.
-
C.
typicalGame
Indicates a relationship where one entity is characterized as a standard, representative, or commonly occurring example of a game for the other entity or context.
-
D.
standardRoundLength
Indicates that there is a defined, typical duration assigned to a single round within a process, activity, or game.
-
E.
game3Duration
Indicates the length of time that the third game in a sequence lasts or is scheduled to last.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf2447bc81908baf1f4b55095144 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.