Triple
T1305752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marches Line |
E27873
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Abergavenny |
E92583
|
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: Abergavenny | Statement: [Marches Line, passesThrough, Abergavenny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abergavenny Context triple: [Marches Line, passesThrough, Abergavenny]
-
A.
Abergavenny
chosen
Abergavenny is a historic market town in Monmouthshire, Wales, known as a gateway to the Brecon Beacons and for its annual food festival.
-
B.
Chepstow
Chepstow is a historic town in Monmouthshire, Wales, best known for its Norman castle overlooking the River Wye near the English border.
-
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.
Trellech
Trellech is a historic village in Monmouthshire, Wales, known for its medieval significance and as the birthplace of philosopher Bertrand Russell.
-
E.
Machynlleth
Machynlleth is a historic market town in mid Wales, known for its role as the seat of Owain Glyndŵr’s Welsh Parliament and its strong cultural and environmental focus.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c13524d481909e8f5bb2ab91f6e4 |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae3037944c8190b2ced5f5ca539260 |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 1, 2026, 7:51 p.m.