Triple
T2636586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somerset |
E59760
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Keynsham |
E194874
|
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: Keynsham | Statement: [Somerset, hasTown, Keynsham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keynsham Context triple: [Somerset, hasTown, Keynsham]
-
A.
Keynsham
chosen
Keynsham is a town in Somerset, England, situated between Bristol and Bath and known for its historic market-town character and riverside setting.
-
B.
Bridgend
Bridgend is a small village on the Scottish island of Islay, known for its rural setting and role as a local hub near the island’s central crossroads.
-
C.
Bridgend
Bridgend is a town and county borough in South Wales, situated roughly midway between Cardiff and Swansea and known historically for its market and industrial heritage.
-
D.
Clevedon
Clevedon is a coastal town in southwest England known for its Victorian pier and views across the Severn Estuary.
-
E.
Cowbridge
Cowbridge is a historic market town in South Wales known for its medieval origins, independent shops, and well-preserved high street.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8e1fffc81908e4921690098c8db |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98bb55f08190bb072c9b106aa748 |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:50 p.m.