Triple
T4216950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caldicot |
E94240
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
FINISHED |
| Object |
Caerwent
Caerwent is a historic village in Monmouthshire, Wales, best known for its remarkably well-preserved Roman town walls and archaeological remains.
|
E425197
|
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: Caerwent | Statement: [Caldicot, hasNeighbouringSettlement, Caerwent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caerwent Context triple: [Caldicot, hasNeighbouringSettlement, Caerwent]
-
A.
Caerleon
Caerleon is a historic town in South Wales traditionally associated with Arthurian legend as one of the possible locations of King Arthur’s court.
-
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.
Trellech
Trellech is a historic village in Monmouthshire, Wales, known for its medieval significance and as the birthplace of philosopher Bertrand Russell.
-
D.
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.
-
E.
Bargoed
Bargoed is a former coal mining town in the Rhymney Valley of south Wales that developed rapidly during the industrial era.
- 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: Caerwent Triple: [Caldicot, hasNeighbouringSettlement, Caerwent]
Generated description
Caerwent is a historic village in Monmouthshire, Wales, best known for its remarkably well-preserved Roman town walls and archaeological remains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caerwent Target entity description: Caerwent is a historic village in Monmouthshire, Wales, best known for its remarkably well-preserved Roman town walls and archaeological remains.
-
A.
Caerleon
Caerleon is a historic town in South Wales traditionally associated with Arthurian legend as one of the possible locations of King Arthur’s court.
-
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.
Trellech
Trellech is a historic village in Monmouthshire, Wales, known for its medieval significance and as the birthplace of philosopher Bertrand Russell.
-
D.
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.
-
E.
Bargoed
Bargoed is a former coal mining town in the Rhymney Valley of south Wales that developed rapidly during the industrial era.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34beb470481909ceff19195417f19 |
completed | March 12, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a855cfc08190acceced9cb80f41a |
completed | March 14, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69b5a8e024a081909e7ecbe969793281 |
completed | March 14, 2026, 6:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5acefd1f881908226ff68a741552b |
completed | March 14, 2026, 6:46 p.m. |
Created at: March 12, 2026, 11:04 p.m.