Triple
T7424704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paycom Center |
E171338
|
entity |
| Predicate | hostedEventsType |
P58154
|
FINISHED |
| Object | college basketball games |
—
|
LITERAL FINISHED |
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: college basketball games | Statement: [Paycom Center, hostedEventsType, college basketball games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedEventsType Context triple: [Paycom Center, hostedEventsType, college basketball games]
-
A.
hostsTypeOfEvent
chosen
Indicates that an entity organizes or provides the venue for a particular type or category of event.
-
B.
alsoHostedEventType
Indicates that the same host was responsible for organizing or holding another event of a specified type.
-
C.
hostsEvent
Indicates that an entity organizes and provides the venue or setting for an event to take place.
-
D.
typeOfEvent
Indicates that one entity is classified as a specific kind or category of event.
-
E.
countryHostedEvent
Indicates that a specific country served as the host location for a particular 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f302b33481908eae877970f2bbdf |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f03648d08190b862d07fef71210c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:12 p.m.