Triple
T12843026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coca-Cola Championship |
E307099
|
entity |
| Predicate | sponsorshipDeal |
P82974
|
FINISHED |
| Object | Football League title sponsorship 2004–2010 |
—
|
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: Football League title sponsorship 2004–2010 | Statement: [Coca-Cola Championship, sponsorshipDeal, Football League title sponsorship 2004–2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorshipDeal Context triple: [Coca-Cola Championship, sponsorshipDeal, Football League title sponsorship 2004–2010]
-
A.
sponsorshipDealStart
Indicates the point in time when a sponsorship agreement between parties officially begins.
-
B.
sponsorshipRenamedFrom
Indicates that a sponsorship currently known by one name previously existed under a different, earlier name.
-
C.
sponsorEnd
Indicates the point in time or condition at which a sponsorship relationship or sponsorship-related action comes to an end.
-
D.
sponsorshipBrand
chosen
Indicates that one entity serves as a sponsoring brand for another entity, typically providing support, funding, or endorsement.
-
E.
sponsorshipName
Indicates the name or title associated with a sponsorship relationship between entities.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:35 p.m.