Triple
T29117594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleep Train Amphitheatre |
E737088
|
entity |
| Predicate | hasCurrentNameSponsor |
P35686
|
FINISHED |
| Object | North Island Credit Union |
—
|
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: North Island Credit Union | Statement: [Sleep Train Amphitheatre, hasCurrentNameSponsor, North Island Credit Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCurrentNameSponsor Context triple: [Sleep Train Amphitheatre, hasCurrentNameSponsor, North Island Credit Union]
-
A.
hasSponsor
chosen
Indicates that one entity financially or otherwise supports another entity, typically in exchange for recognition or other benefits.
-
B.
previousSponsorshipName
Indicates that an entity had a different sponsorship name in the past, specifying what that prior sponsored name was.
-
C.
sponsoredNameHolder
Indicates that one entity holds or uses a name or title under the sponsorship or endorsement of another entity.
-
D.
sponsorshipNameSince
Indicates the date or time from which a particular sponsorship name has been in effect for the associated entity or relationship.
-
E.
renamedAfterSponsorship
Indicates that an entity’s name was changed as a result of a sponsorship agreement or sponsorship-related naming rights.
- 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 28, 2026, 11:23 a.m.