Triple
T11786351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Builth Wells |
E280279
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | BUILTH WELLS |
E280279
|
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: BUILTH WELLS | Statement: [Builth Wells, hasPostTown, BUILTH WELLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BUILTH WELLS Context triple: [Builth Wells, hasPostTown, BUILTH WELLS]
-
A.
Llanwrtyd Wells
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.
Builth Wells
chosen
Builth Wells is a small market town in Powys, mid Wales, known for its rural setting and proximity to the Royal Welsh Showground.
-
C.
Hereford
Hereford is a cathedral city in Herefordshire, England, known for its historic architecture and role as a military and agricultural center.
-
D.
Hereford
Hereford is a small city in the Texas Panhandle known for its strong agricultural and cattle industry.
-
E.
Frampton-on-Severn
Frampton-on-Severn is a picturesque village in Gloucestershire, England, known for its large village green and historic Cotswold stone buildings.
- 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_69f090e8828481908baa7f6067190db3 |
completed | April 28, 2026, 10:50 a.m. |
Created at: April 8, 2026, 9:42 p.m.