Triple
T21629116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WNSL |
E533780
|
entity |
| Predicate | operatesTypeOfVenue |
P43750
|
FINISHED |
| Object | multi-purpose stadium |
—
|
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: multi-purpose stadium | Statement: [WNSL, operatesTypeOfVenue, multi-purpose stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesTypeOfVenue Context triple: [WNSL, operatesTypeOfVenue, multi-purpose stadium]
-
A.
operatesVenue
Indicates that one entity manages and runs the day-to-day operations of a particular venue.
-
B.
venueTypeOperated
chosen
Indicates that an entity operates or manages a venue of a specified type.
-
C.
refersToVenueType
Indicates that one entity specifies or identifies the type or category of venue associated with another entity.
-
D.
isRegularVenueFor
Indicates that a location is commonly or routinely used as the venue for a particular event, activity, or entity’s gatherings.
-
E.
operatesVenueInCity
Indicates that an entity operates or manages a venue located within a specified city.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5215ae3c81909e6dedba23822970 |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:34 p.m.