Triple
T11786380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Builth Wells |
E280279
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Llanwrtyd Wells |
E695398
|
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: Llanwrtyd Wells | Statement: [Builth Wells, hasNearbySettlement, Llanwrtyd Wells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llanwrtyd Wells Context triple: [Builth Wells, hasNearbySettlement, Llanwrtyd Wells]
-
A.
Llanwrtyd Wells
chosen
Llanwrtyd Wells is a small town in Powys, mid Wales, known as one of the smallest towns in the United Kingdom and for hosting quirky events such as the World Bog Snorkelling Championships.
-
B.
Llandrindod Wells
Llandrindod Wells is a historic spa town in mid Wales that serves as the administrative centre of the county of Powys.
-
C.
Builth Wells
Builth Wells is a small market town in Powys, mid Wales, known for its rural setting and proximity to the Royal Welsh Showground.
-
D.
Abergavenny
Abergavenny is a historic market town in Monmouthshire, Wales, known as a gateway to the Brecon Beacons and for its annual food festival.
-
E.
Llanwern
Llanwern is a village and community in the city of Newport, South Wales, historically known for its large steelworks and rural surroundings.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a586803481909af0032c35ca6e51 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce593bbc8190827ca217f43140b9 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 8, 2026, 9:42 p.m.