Triple
T21831688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sirhowy Railway |
E539010
|
entity |
| Predicate | hasRouteThrough |
P4374
|
FINISHED |
| Object | Sirhowy |
—
|
NE NERFINISHED |
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: Sirhowy | Statement: [Sirhowy Railway, hasRouteThrough, Sirhowy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sirhowy Context triple: [Sirhowy Railway, hasRouteThrough, Sirhowy]
-
A.
Sirhowy Valley
Sirhowy Valley is a historic, post-industrial valley in south Wales known for its former coal mining communities and scenic, rugged landscape.
-
B.
Ystrad Tywi
Ystrad Tywi is a historic region of southwest Wales centered on the valley of the River Tywi, known for its medieval lordships and rich cultural heritage.
-
C.
Clydach
Clydach is a village in South Wales situated near Swansea, known historically for its industrial heritage and proximity to the Swansea Valley.
-
D.
Sirhowy River
chosen
The Sirhowy River is a waterway in south Wales that flows through the historic industrial landscape of the Sirhowy Valley before joining the River Ebbw.
-
E.
Treorchy
Treorchy is a former coal-mining town and community in the Rhondda Fawr valley of South Wales, known for its cultural heritage and male voice choir.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f091362d9081909f00ad7a2806d5cb |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 16, 2026, 6:55 p.m.