Triple
T692701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NP postcode area |
E13828
|
entity |
| Predicate | servesTown |
P847
|
FINISHED |
| Object |
Abergavenny
Abergavenny is a historic market town in Monmouthshire, Wales, known as a gateway to the Brecon Beacons and for its annual food festival.
|
E92583
|
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: Abergavenny | Statement: [NP postcode area, servesTown, Abergavenny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abergavenny Context triple: [NP postcode area, servesTown, Abergavenny]
-
A.
Chepstow
Chepstow is a historic town in Monmouthshire, Wales, best known for its Norman castle overlooking the River Wye near the English border.
-
B.
Trellech
Trellech is a historic village in Monmouthshire, Wales, known for its medieval significance and as the birthplace of philosopher Bertrand Russell.
-
C.
Pencoed
Pencoed is a small town in south Wales, situated near Bridgend and known primarily as a residential and commuter community.
-
D.
Bridgend
Bridgend is a town and county borough in South Wales, situated roughly midway between Cardiff and Swansea and known historically for its market and industrial heritage.
-
E.
Tywyn
Tywyn is a coastal town in Gwynedd, Wales, known for its sandy beaches on Cardigan Bay and proximity to the scenic Talyllyn Railway.
- 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: Abergavenny Triple: [NP postcode area, servesTown, Abergavenny]
Generated description
Abergavenny is a historic market town in Monmouthshire, Wales, known as a gateway to the Brecon Beacons and for its annual food festival.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abergavenny Target entity description: Abergavenny is a historic market town in Monmouthshire, Wales, known as a gateway to the Brecon Beacons and for its annual food festival.
-
A.
Chepstow
Chepstow is a historic town in Monmouthshire, Wales, best known for its Norman castle overlooking the River Wye near the English border.
-
B.
Trellech
Trellech is a historic village in Monmouthshire, Wales, known for its medieval significance and as the birthplace of philosopher Bertrand Russell.
-
C.
Pencoed
Pencoed is a small town in south Wales, situated near Bridgend and known primarily as a residential and commuter community.
-
D.
Bridgend
Bridgend is a town and county borough in South Wales, situated roughly midway between Cardiff and Swansea and known historically for its market and industrial heritage.
-
E.
Tywyn
Tywyn is a coastal town in Gwynedd, Wales, known for its sandy beaches on Cardigan Bay and proximity to the scenic Talyllyn Railway.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0b05f2c8190876c73db15b489a2 |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6733031bc8190bbb0cd733ae023e9 |
completed | March 3, 2026, 5:35 a.m. |
| NEDg | Description generation | batch_69a6739f74e081908baa88baf54273ce |
completed | March 3, 2026, 5:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a67409760481908d46e247035260b1 |
completed | March 3, 2026, 5:39 a.m. |
Created at: March 1, 2026, 7:36 p.m.