Triple
T2087107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Powys |
E45376
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Hay-on-Wye
Hay-on-Wye is a small Welsh market town on the England–Wales border, internationally renowned for its numerous bookshops and annual literary festival.
|
E292986
|
NE FINISHED |
How this triple was built (4 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: [Powys, containsSettlement, Hay-on-Wye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hay-on-Wye Context triple: [Powys, containsSettlement, Hay-on-Wye]
-
A.
Abergavenny
Abergavenny is a historic market town in Monmouthshire, Wales, known as a gateway to the Brecon Beacons and for its annual food festival.
-
B.
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.
-
C.
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.
-
D.
Chepstow
Chepstow is a historic town in Monmouthshire, Wales, best known for its Norman castle overlooking the River Wye near the English border.
-
E.
Kidwelly
Kidwelly is a historic town in southwest Wales, best known for its well-preserved medieval castle overlooking the River Gwendraeth.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hay-on-Wye Triple: [Powys, containsSettlement, Hay-on-Wye]
Generated description
Hay-on-Wye is a small Welsh market town on the England–Wales border, internationally renowned for its numerous bookshops and annual literary festival.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hay-on-Wye Target entity description: Hay-on-Wye is a small Welsh market town on the England–Wales border, internationally renowned for its numerous bookshops and annual literary festival.
-
A.
Abergavenny
Abergavenny is a historic market town in Monmouthshire, Wales, known as a gateway to the Brecon Beacons and for its annual food festival.
-
B.
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.
-
C.
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.
-
D.
Chepstow
Chepstow is a historic town in Monmouthshire, Wales, best known for its Norman castle overlooking the River Wye near the English border.
-
E.
Kidwelly
Kidwelly is a historic town in southwest Wales, best known for its well-preserved medieval castle overlooking the River Gwendraeth.
- F. None of above. chosen
Provenance (5 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba5641208190b925676b8d80f300 |
completed | March 7, 2026, 5:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb66209bc8190aa030b147e4d34cb |
completed | March 10, 2026, 6:12 a.m. |
| NEDg | Description generation | batch_69afb6f35a2881908a1023908184fd60 |
completed | March 10, 2026, 6:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb76a786081908add737721132edc |
completed | March 10, 2026, 6:17 a.m. |
Created at: March 4, 2026, 7:41 p.m.