Triple
T9664719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pen Dinas |
E233673
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Aberystwyth town |
E37121
|
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: Aberystwyth town | Statement: [Pen Dinas, hasViewOf, Aberystwyth town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aberystwyth town Context triple: [Pen Dinas, hasViewOf, Aberystwyth town]
-
A.
Aberystwyth
chosen
Aberystwyth is a historic seaside and university town on the west coast of Wales, known for its promenade, castle ruins, and role as a cultural and administrative center for the region.
-
B.
Haverfordwest
Haverfordwest is a historic market town in southwest Wales that serves as the principal commercial and administrative centre of Pembrokeshire.
-
C.
Penryn
Penryn is a historic town and former parliamentary borough in Cornwall, England.
-
D.
Prestatyn
Prestatyn is a seaside town in Denbighshire, North Wales, known for its sandy beaches, coastal tourism, and position near the Irish Sea.
-
E.
Amlwch
Amlwch is a small coastal town in northern Anglesey, Wales, historically known for its copper mining and maritime heritage.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c0e1ef481909c50a4ba5fd94583 |
completed | April 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6525a4af08190bcd8455e95a2f3ae |
completed | April 8, 2026, 1:04 p.m. |
Created at: March 30, 2026, 8:14 p.m.