Triple
T11088260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Farms Arena |
E262179
|
entity |
| Predicate | sponsorshipNamingRightsStart |
P6314
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Royal Farms Arena, sponsorshipNamingRightsStart, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorshipNamingRightsStart Context triple: [Royal Farms Arena, sponsorshipNamingRightsStart, 2014]
-
A.
sponsorshipName
Indicates the name or title associated with a sponsorship relationship between entities.
-
B.
namingRightsBrand
Indicates that a brand holds the official naming rights for a venue, event, or property.
-
C.
sponsorshipRenamedFrom
Indicates that a sponsorship currently known by one name previously existed under a different, earlier name.
-
D.
sponsorshipDealStart
chosen
Indicates the point in time when a sponsorship agreement between parties officially begins.
-
E.
sponsorshipNameAdopted
Indicates that an entity has adopted or taken on a specific sponsorship name as its official or recognized designation.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799e844b08190987c7c8e8d626510 |
completed | April 9, 2026, 12:22 p.m. |
| PD | Predicate disambiguation | batch_69d744185a5881909ba4cf151d1798ec |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.