Triple
T5065813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afan Forest Park |
E114140
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Port Talbot |
E18141
|
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: Port Talbot | Statement: [Afan Forest Park, near, Port Talbot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port Talbot Context triple: [Afan Forest Park, near, Port Talbot]
-
A.
Port Talbot
chosen
Port Talbot is an industrial town and port in South Wales, best known for its large steelworks and coastal location on Swansea Bay.
-
B.
Ogmore-by-Sea
Ogmore-by-Sea is a coastal village in the Vale of Glamorgan, Wales, known for its sandy beaches, cliffs, and views across the Bristol Channel.
-
C.
Narberth
Narberth is a small market town in southwest Wales known for its independent shops, arts scene, and historic castle remains.
-
D.
Ebbw Vale
Ebbw Vale is a town in South Wales known for its industrial heritage, particularly in steelmaking and coal mining, and for serving as the main commercial and administrative hub of the surrounding area.
-
E.
Cwmavon
Cwmavon is a village in South Wales that forms part of the historic Blaenavon Industrial Landscape, a UNESCO World Heritage Site linked to the region’s coal and iron industries.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749aceac8190817278266308fd64 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf7fcb783881909cc693e4832a19e3 |
completed | March 22, 2026, 5:36 a.m. |
Created at: March 20, 2026, 1:38 p.m.