Triple
T11763820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clwyd West |
E279726
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Abergele |
E914807
|
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: Abergele | Statement: [Clwyd West, hasTown, Abergele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abergele Context triple: [Clwyd West, hasTown, Abergele]
-
A.
Abergele
chosen
Abergele is a small coastal market town in North Wales known for its beaches, nearby Gwrych Castle, and position between the resorts of Colwyn Bay and Rhyl.
-
B.
Aberaeron
Aberaeron is a picturesque seaside town in west Wales, known for its colorful Georgian architecture and small harbor on Cardigan Bay.
-
C.
Aberdulais
Aberdulais is a village in South Wales known for its historic tinplate works and picturesque waterfalls on the River Neath.
-
D.
Llandovery
Llandovery is a historic market town in Carmarthenshire, Wales, known for its medieval castle ruins and role as a gateway to the Brecon Beacons.
-
E.
Blorenge
Blorenge is a prominent hill in Monmouthshire, Wales, known for its sweeping views over the Usk Valley and the nearby town of Abergavenny.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a5248e0881909ed1b4df7be422f7 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a570ca88190ba2f3791c0e0ba60 |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 8, 2026, 9:41 p.m.