Triple
T25338587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miyagi Baseball Stadium |
E635345
|
entity |
| Predicate | hasSponsorshipName |
P15097
|
FINISHED |
| Object | Rakuten Kobo Stadium Miyagi |
—
|
NE NERFINISHED |
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: Rakuten Kobo Stadium Miyagi | Statement: [Miyagi Baseball Stadium, hasSponsorshipName, Rakuten Kobo Stadium Miyagi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSponsorshipName Context triple: [Miyagi Baseball Stadium, hasSponsorshipName, Rakuten Kobo Stadium Miyagi]
-
A.
hasSponsor
Indicates that one entity financially or otherwise supports another entity, typically in exchange for recognition or other benefits.
-
B.
sponsorshipName
chosen
Indicates the name or title associated with a sponsorship relationship between entities.
-
C.
hasTitleSponsor
Indicates that one entity serves as the primary (title) sponsor for another entity, typically giving its name to the sponsored event, organization, or property.
-
D.
sponsoredNameHolder
Indicates that one entity holds or uses a name or title under the sponsorship or endorsement of another entity.
-
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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 21, 2026, 1:32 p.m.