Triple
T30879085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tohoku Electric Power |
E786559
|
entity |
| Predicate | namingRightsHolderOf |
P3318
|
FINISHED |
| Object | Yurtec Stadium Sendai |
—
|
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: Yurtec Stadium Sendai | Statement: [Tohoku Electric Power, namingRightsHolderOf, Yurtec Stadium Sendai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namingRightsHolderOf Context triple: [Tohoku Electric Power, namingRightsHolderOf, Yurtec Stadium Sendai]
-
A.
namingRightsHolder
chosen
Indicates which entity holds the official right to name or brand another entity (such as a venue, event, or asset).
-
B.
formerNamingRightsHolder
Indicates that an entity previously held, but no longer holds, the naming rights to another entity (such as a venue, event, or organization).
-
C.
namingRightsBrand
Indicates that a brand holds the official naming rights for a venue, event, or property.
-
D.
commercialRightsHolderOf
Indicates that one entity holds the legal commercial rights to exploit, license, or profit from another entity.
-
E.
namingRightsCity
Indicates that a city holds the naming rights associated with a particular entity, venue, or event.
- 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_69f224bae17c8190bb3a6a28e3d019df |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f691d99c0c81909eb316731f7d2feb |
completed | May 3, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:48 p.m.