Triple
T23201901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Clair Saints |
E580335
|
entity |
| Predicate | primaryVenueOwner |
P73096
|
FINISHED |
| Object | St. Clair College |
—
|
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. Clair College | Statement: [St. Clair Saints, primaryVenueOwner, St. Clair College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryVenueOwner Context triple: [St. Clair Saints, primaryVenueOwner, St. Clair College]
-
A.
venueOwner
chosen
Indicates that one entity is the owner or proprietor responsible for a particular venue or event location.
-
B.
primaryVenueFor
Indicates that one entity serves as the main or principal venue or location for events, activities, or operations associated with another entity.
-
C.
primaryOwner
Indicates that one entity is the main or principal owner of another entity, having the highest level of ownership or control among all possible owners.
-
D.
hasVenueOwner
Indicates that a particular venue is owned or controlled by a specific owner.
-
E.
primaryVenues
Indicates the main or most important venues associated with or used by a given entity.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19079c44881909e8677921b08b931 |
completed | April 29, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:06 p.m.