Triple
T243283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College Football Playoff |
E4979
|
entity |
| Predicate | broadcastRightsDealLength |
P6994
|
FINISHED |
| Object | 12 years |
—
|
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: 12 years | Statement: [College Football Playoff, broadcastRightsDealLength, 12 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcastRightsDealLength Context triple: [College Football Playoff, broadcastRightsDealLength, 12 years]
-
A.
mediaRights
Indicates that one entity holds legal permission or authority to use, distribute, or control the use of another entity’s media content.
-
B.
sportsRights
chosen
Indicates that one entity holds legal rights or permissions related to broadcasting, distributing, or otherwise commercially exploiting a sports event or sports content in relation to another entity.
-
C.
hasBroadcastRightsHolder
Indicates that one entity holds the legal rights to broadcast content owned or controlled by another entity.
-
D.
sponsorshipDealStart
Indicates the point in time when a sponsorship agreement between parties officially begins.
-
E.
notableSportsRights
Indicates that an entity holds or has held significant broadcasting or licensing rights for major sports events or organizations.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25dcd2b208190855d5d8d70a3acfc |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b62839c8190824064fe5da6a92a |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.