Triple
T35659763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gulls |
E1030394
|
entity |
| Predicate | associatedWithSeasideTown |
—
|
GENERATED |
| Object | Torquay |
—
|
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: associatedWithSeasideTown Context triple: [The Gulls, associatedWithSeasideTown, Torquay]
-
A.
associatedWithTownType
Indicates that an entity has a relationship or linkage to a particular category or classification of town (e.g., village, city, suburb).
-
B.
associatedWithSea
chosen
Indicates a relationship in which something has a connection, relevance, or linkage to the sea or marine environment.
-
C.
isSeasideCounterpartOf
Indicates that one entity serves as the seaside equivalent or corresponding version of another entity.
-
D.
associatedWithCountySeat
Indicates that an entity has a relationship or connection to a county’s administrative center or county seat.
-
E.
associatedWithSubdivision
Indicates that one entity has a connection or linkage to a specific administrative or organizational subdivision.
- 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_69f76e09f87881909c954aaac176c34f |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.