Triple
T35919300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Top 14 rugby union finals |
E1038835
|
entity |
| Predicate | typicalVenueMetropolitanArea |
—
|
GENERATED |
| Object | Paris metropolitan area |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalVenueMetropolitanArea Context triple: [Top 14 rugby union finals, typicalVenueMetropolitanArea, Paris metropolitan area]
-
A.
typicalVenueMetroArea
chosen
Indicates the metropolitan area where an entity is most commonly or characteristically located or hosted.
-
B.
typicalVenueCity
Indicates that a particular city is the usual or standard location where an event, activity, or organization is typically held or based.
-
C.
typicalVenueRegion2
Indicates that a venue is commonly or characteristically located within a particular secondary geographic region.
-
D.
typicalDestinationMetroArea
Indicates the metro area that is most commonly the destination associated with a given origin or context.
-
E.
cityOfVenue
Indicates the city in which a given venue is located.
- F. None of above.
Provenance (1 batch)
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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:07 p.m.