Triple
T7187258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American football |
E167602
|
entity |
| Predicate | typicalGameDuration |
P15428
|
FINISHED |
| Object | 60 minutes of game time |
—
|
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: 60 minutes of game time | Statement: [American football, typicalGameDuration, 60 minutes of game time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGameDuration Context triple: [American football, typicalGameDuration, 60 minutes of game time]
-
A.
gameLength
chosen
Indicates the duration or total length of a game, typically measured in time or turns.
-
B.
gameLengthRule
Indicates a rule that specifies how long a game is allowed or required to last.
-
C.
game3Duration
Indicates the length of time that the third game in a sequence lasts or is scheduled to last.
-
D.
seasonDuration
Indicates the length of time that a particular season lasts.
-
E.
typicalCourtLength
Indicates the standard or commonly observed length associated with a court (such as a sports court or legal jurisdiction) in typical conditions.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8e2506881909fc4e81b9b79e873 |
completed | March 27, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69c6e752385c819096fbab55566ee2a8 |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:50 p.m.