Triple
T951675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neath Port Talbot |
E20536
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Bridgend |
E16737
|
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: Bridgend | Statement: [Neath Port Talbot, borderedBy, Bridgend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bridgend Context triple: [Neath Port Talbot, borderedBy, Bridgend]
-
A.
Bridgend
chosen
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.
-
B.
Llantrisant
Llantrisant is a historic Welsh town known for its medieval heritage and hilltop setting in South Wales.
-
C.
Blaenau Gwent
Blaenau Gwent is a county borough in southeastern Wales known for its industrial heritage and former coal mining communities.
-
D.
Cowbridge
Cowbridge is a historic market town in South Wales known for its medieval origins, independent shops, and well-preserved high street.
-
E.
Cwmbran
Cwmbran is a large new town in South Wales known for its extensive shopping centre and post-war planned development.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3d757d08190a475cf47febd05ae |
completed | March 1, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08995af88190930a952bd32cd918 |
completed | March 8, 2026, 5:26 a.m. |
Created at: March 1, 2026, 7:40 p.m.