Triple
T2298098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stoke Ferry |
E51662
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Methwold |
E50637
|
NE 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: Methwold | Statement: [Stoke Ferry, hasNearbySettlement, Methwold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Methwold Context triple: [Stoke Ferry, hasNearbySettlement, Methwold]
-
A.
Methwold
chosen
Methwold is a rural village and civil parish in Norfolk, England, known for its agricultural landscape and historic parish church.
-
B.
Godalming
Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
-
C.
Shudehill
Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
-
D.
Hawkenbury
Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
-
E.
Buntingford
Buntingford is a small historic market town in Hertfordshire, England, known for its traditional high street and rural surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5df37808190ba6a43dc1e9e723a |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f2ba4048190898e3524feb0d96d |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:49 p.m.