Triple
T4644565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwent |
E101734
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Chepstow |
E24520
|
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: Chepstow | Statement: [Gwent, contains, Chepstow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chepstow Context triple: [Gwent, contains, Chepstow]
-
A.
Chepstow
chosen
Chepstow is a historic town in Monmouthshire, Wales, best known for its Norman castle overlooking the River Wye near the English border.
-
B.
Chepstow
Chepstow is a historic house museum in Newport, Rhode Island, noted for its 19th-century architecture and preservation as part of the city’s famed Gilded Age heritage.
-
C.
Abergavenny
Abergavenny is a historic market town in Monmouthshire, Wales, known as a gateway to the Brecon Beacons and for its annual food festival.
-
D.
Cowbridge
Cowbridge is a historic market town in South Wales known for its medieval origins, independent shops, and well-preserved high street.
-
E.
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.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6236e5488190a0ed6991c65c0a74 |
completed | March 20, 2026, 3:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c27ce8c81908253c7639207fd3c |
completed | March 22, 2026, 4:12 a.m. |
Created at: March 20, 2026, 1:14 p.m.