Triple
T20647641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riddings |
E507398
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Swanwick |
—
|
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: Swanwick | Statement: [Riddings, locatedNear, Swanwick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swanwick Context triple: [Riddings, locatedNear, Swanwick]
-
A.
Swanwick
chosen
Swanwick is a village and civil parish in Derbyshire, England, known historically for its coal mining and industrial heritage.
-
B.
Swanwick
Swanwick is a village in Hampshire, England, situated between Southampton and Portsmouth and known for its marina and proximity to the River Hamble.
-
C.
Swannington
Swannington is a historic village in Leicestershire, England, known for its coal-mining heritage and role in early railway development.
-
D.
Ashwick
Ashwick is a small rural village and civil parish in Somerset, England, known for its historic church and scenic Mendip countryside setting.
-
E.
Shanklin
Shanklin is a popular seaside resort town on the Isle of Wight in England, known for its sandy beach, Victorian architecture, and scenic coastal walks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1fbfa881908a5b9db143e362d0 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.