Triple
T16595881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bassingham |
E403204
|
entity |
| Predicate | civilParish |
P2739
|
FINISHED |
| Object | Bassingham |
E403204
|
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: Bassingham | Statement: [Bassingham, civilParish, Bassingham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bassingham Context triple: [Bassingham, civilParish, Bassingham]
-
A.
Bassingham
chosen
Bassingham is a small rural village and civil parish in the North Kesteven district of Lincolnshire, England.
-
B.
Barming
Barming is a village and railway station in Kent, England, serving the western outskirts of Maidstone on the Medway Valley Line.
-
C.
Bampton
Bampton is a historic village in Oxfordshire, England, known for its traditional Cotswold architecture and as a filming location for the television series "Downton Abbey."
-
D.
Biddenham
Biddenham is a village and civil parish in Bedfordshire, England, situated just west of the town of Bedford.
-
E.
Biddeston
Biddeston is a small rural locality in the Toowoomba Region of Queensland, Australia, known for its agricultural landscape and close-knit community.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d717604819083ed60b865bbd13e |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084b233ac8190b3f1ab82a47110d4 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:16 a.m.