Triple
T19574398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Football League |
E489812
|
entity |
| Predicate | hadSalaryCap |
P2676
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [United Football League, hadSalaryCap, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadSalaryCap Context triple: [United Football League, hadSalaryCap, yes]
-
A.
usesSalaryCap
chosen
Indicates that an entity applies or operates under a salary cap constraint when managing compensation or payroll.
-
B.
introducedSalaryCapSeason
Indicates the season during which a salary cap was first implemented or introduced.
-
C.
salaryCapUpperLimitUSD
Indicates the maximum allowable salary amount, expressed in U.S. dollars, that an entity (such as a person, team, or organization) is permitted to pay or receive under a defined cap or budget constraint.
-
D.
hadCapacity
Indicates that an entity possessed the ability, resources, or potential to perform a particular function or action.
-
E.
isOneOfMostCappedPlayersFor
Indicates that a player is among the individuals with the highest number of appearances (caps) for a particular team or national side.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402333dc8190bdffb1da68e2c76b |
completed | April 20, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:42 p.m.