Triple
T35636372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Owens and Sami Zayn defeated The Usos |
E1029730
|
entity |
| Predicate | tookPlaceAtVenue |
P96050
|
FINISHED |
| Object | SoFi Stadium |
—
|
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: SoFi Stadium | Statement: [Kevin Owens and Sami Zayn defeated The Usos, tookPlaceAtVenue, SoFi Stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookPlaceAtVenue Context triple: [Kevin Owens and Sami Zayn defeated The Usos, tookPlaceAtVenue, SoFi Stadium]
-
A.
tookPlaceAtLocation
Indicates that an event or action occurred at a specific location.
-
B.
performedAtVenue
chosen
Indicates that an event or performance took place at a specific venue or location.
-
C.
tookPlaceAtEvent
Indicates that an action or occurrence happened during or in the context of a specific event.
-
D.
takesPlace
Indicates that an event or action occurs or is situated at a particular time, place, or context.
-
E.
hasVenueFor
Indicates that one entity provides or serves as the location or setting where an event, activity, or function takes place for another 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_69f76e087bdc8190a4794bf9c0bd7634 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.