Triple
T2918745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South East Wales |
E78668
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Caerphilly |
E124318
|
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: Caerphilly | Statement: [South East Wales, contains, Caerphilly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caerphilly Context triple: [South East Wales, contains, Caerphilly]
-
A.
Caerphilly
chosen
Caerphilly is a town in South Wales known for its historic medieval castle and as the namesake of Caerphilly cheese.
-
B.
Caerphilly Castle
Caerphilly Castle is a large 13th-century medieval fortress in South Wales, renowned for its extensive water defenses and status as one of the biggest castles in Britain.
-
C.
Bargoed
Bargoed is a former coal mining town in the Rhymney Valley of south Wales that developed rapidly during the industrial era.
-
D.
Nant Gwynant
Nant Gwynant is a scenic valley in Snowdonia, Wales, known for its lakes, mountain views, and popular hiking routes near Snowdon.
-
E.
Penrhyn Castle
Penrhyn Castle is a 19th-century neo-Norman country house in North Wales, renowned for its grand architecture, extensive art collection, and role in the region’s slate industry history.
- 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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad96a41b4c81909d8ace8ab270ed3c |
completed | March 8, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0562fc5f081909c9130f71f379a24 |
completed | March 10, 2026, 5:34 p.m. |
Created at: March 8, 2026, 2:54 p.m.