Triple
T26753251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ceremonial county of Devon |
E674598
|
entity |
| Predicate | containsSeasideResort |
P25904
|
FINISHED |
| Object | Torquay |
—
|
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: Torquay | Statement: [ceremonial county of Devon, containsSeasideResort, Torquay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsSeasideResort Context triple: [ceremonial county of Devon, containsSeasideResort, Torquay]
-
A.
isSeasideResort
Indicates that a place functions as a resort located by the sea, typically offering coastal leisure and tourism activities.
-
B.
isSeasideVillage
Indicates that a village is located directly by the sea or coastline.
-
C.
containsResortArea
chosen
Indicates that one location or region includes within its boundaries a designated resort area.
-
D.
isSeasideVenue
Indicates that a venue is located by the sea or coastline, typically offering direct proximity or access to the seaside.
-
E.
hasSeasideRestaurants
Indicates that a place or area contains restaurants located by or directly facing the sea.
- 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: April 27, 2026, 3:54 a.m.