Triple
T4164383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Offa's Dyke Path (sections) |
E84406
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Hay-on-Wye |
E292986
|
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: Hay-on-Wye | Statement: [Offa's Dyke Path (sections), passesThrough, Hay-on-Wye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hay-on-Wye Context triple: [Offa's Dyke Path (sections), passesThrough, Hay-on-Wye]
-
A.
Hay-on-Wye
chosen
Hay-on-Wye is a small Welsh market town on the England–Wales border, internationally renowned for its numerous bookshops and annual literary festival.
-
B.
Abergavenny
Abergavenny is a historic market town in Monmouthshire, Wales, known as a gateway to the Brecon Beacons and for its annual food festival.
-
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.
Brecon
Brecon is a historic market town in Powys, mid Wales, known for its cathedral, Georgian architecture, and location near the Brecon Beacons National Park.
-
E.
Nefyn
Nefyn is a small coastal town on the Llŷn Peninsula in north-west Wales, known for its sandy beach 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02ab00d48190acf3b041fca56be3 |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b66b25d00481909eaf22c7c797c3f1 |
completed | March 15, 2026, 8:17 a.m. |
Created at: March 9, 2026, 3:44 p.m.