Triple
T15993275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clothall |
E387891
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Wallington |
E394334
|
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: Wallington | Statement: [Clothall, hasNearbySettlement, Wallington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wallington Context triple: [Clothall, hasNearbySettlement, Wallington]
-
A.
Wallington
Wallington is a suburban town in the London Borough of Sutton, known for its residential character, grammar schools, and green spaces in south London, England.
-
B.
Wallington
chosen
Wallington is a small rural village in the North Hertfordshire district of England, known for its historic buildings and traditional countryside character.
-
C.
Wateringbury
Wateringbury is a village in Kent, England, known for its rural character and location along the River Medway.
-
D.
Bedington
Bedington is an unincorporated community located in Berkeley County in the Eastern Panhandle region of West Virginia, United States.
-
E.
Lamberhurst
Lamberhurst is a rural village in Kent, England, known for its historic buildings, vineyards, and scenic countryside within the High Weald Area of Outstanding Natural Beauty.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15785347081908831b4cbc9a2dd45 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d5d72081908aa235c5ad9b5707 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.