Triple
T16548109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plasmarl |
E401997
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Lower Swansea Valley |
E138782
|
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: Lower Swansea Valley | Statement: [Plasmarl, partOf, Lower Swansea Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lower Swansea Valley Context triple: [Plasmarl, partOf, Lower Swansea Valley]
-
A.
Cynon Valley
Cynon Valley is a former coal-mining valley and community in South Wales, known for its industrial heritage and role in the South Wales Valleys region.
-
B.
Swansea Valley
chosen
Swansea Valley is a region in South Wales known for its mix of former industrial communities, scenic river landscapes, and proximity to both Swansea and the Brecon Beacons.
-
C.
Rhymney Valley
Rhymney Valley is a historic coal-mining valley in south Wales, known for its industrial heritage and communities along the River Rhymney.
-
D.
Sirhowy Valley
Sirhowy Valley is a historic, post-industrial valley in south Wales known for its former coal mining communities and scenic, rugged landscape.
-
E.
Ebbw Valley
Ebbw Valley is a river valley in southeast Wales known for its industrial heritage and communities that developed around coal mining and steel production.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fbf79048190b761008441762374 |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b4f6448190812632ab9023b665 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.