Triple
T26218303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The SMiSA Stadium |
E655693
|
entity |
| Predicate | sponsorNameOf |
P26420
|
FINISHED |
| Object | St Mirren Park |
—
|
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: St Mirren Park | Statement: [The SMiSA Stadium, sponsorNameOf, St Mirren Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorNameOf Context triple: [The SMiSA Stadium, sponsorNameOf, St Mirren Park]
-
A.
sponsorshipName
Indicates the name or title associated with a sponsorship relationship between entities.
-
B.
sponsorType
Indicates the specific role or category of sponsorship that an entity provides in relation to another entity or event.
-
C.
sponsorFrom
Indicates that one entity provides sponsorship or financial backing originating from a specified source entity.
-
D.
sponsorAcronym
Indicates that one entity is the acronym or abbreviated form used to refer to the sponsoring organization of another entity.
-
E.
sponsorshipNameAdopted
chosen
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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60d1cd19081909f7575479d6b91ca |
completed | May 2, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 8:55 p.m.