Triple
T38601096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyoto Municipal Museum of Art |
E934214
|
entity |
| Predicate | hasNameRightsSponsor |
P3318
|
FINISHED |
| Object | Kyocera Corporation |
—
|
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: Kyocera Corporation | Statement: [Kyoto Municipal Museum of Art, hasNameRightsSponsor, Kyocera Corporation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameRightsSponsor Context triple: [Kyoto Municipal Museum of Art, hasNameRightsSponsor, Kyocera Corporation]
-
A.
hasSponsor
Indicates that one entity financially or otherwise supports another entity, typically in exchange for recognition or other benefits.
-
B.
sponsoredNameHolder
Indicates that one entity holds or uses a name or title under the sponsorship or endorsement of another entity.
-
C.
namingRightsHolder
chosen
Indicates which entity holds the official right to name or brand another entity (such as a venue, event, or asset).
-
D.
hasSuccessorSponsoredName
Indicates that an entity has a successor whose name reflects sponsorship, typically replacing or following the original name due to a sponsorship agreement.
-
E.
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.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fff09dae088190bd8460060d778feb |
completed | May 10, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69fff0027c5c8190baa5c7a15852cbe0 |
completed | May 10, 2026, 2:40 a.m. |
Created at: May 3, 2026, 4:32 p.m.