Triple
T102315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Football League |
E2064
|
entity |
| Predicate | overtimeRuleType |
P3313
|
FINISHED |
| Object | modified sudden death |
—
|
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: modified sudden death | Statement: [National Football League, overtimeRuleType, modified sudden death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overtimeRuleType Context triple: [National Football League, overtimeRuleType, modified sudden death]
-
A.
overtimeRule
chosen
Indicates the rule or policy that defines when and how overtime work is calculated or applied.
-
B.
overtimeFormatRegularSeason
Indicates the format or rules used for overtime periods specifically during the regular season.
-
C.
overtimeFormatPlayoffs
Indicates that the relationship or action pertains to the specific overtime rules or structure used during playoff games, as distinct from regular-season overtime formats.
-
D.
salaryType
Indicates the classification or structure of compensation associated with an entity, such as whether pay is salaried, hourly, commission-based, or another type.
-
E.
exemptionType
Indicates the specific category or kind of exemption that applies in a given context.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2563a6ff48190bec582fb2f99b7af |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.