Triple
T14901023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M56 motorway |
E360002
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | North Wales |
E59105
|
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: North Wales | Statement: [M56 motorway, regionServed, North Wales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Wales Context triple: [M56 motorway, regionServed, North Wales]
-
A.
North Wales
chosen
North Wales is a mountainous and coastal region of Wales known for its rugged landscapes, historic castles, and the popular tourist destination of Snowdonia National Park.
-
B.
north-west Wales
North-west Wales is a coastal and mountainous region of Wales known for its rugged landscapes, Welsh-speaking communities, and proximity to Snowdonia National Park.
-
C.
Mid Wales
Mid Wales is a sparsely populated, predominantly rural region of central Wales known for its upland landscapes, market towns, and Welsh-speaking communities.
-
D.
South Wales
South Wales is a region of Wales in the United Kingdom known for its major cities like Cardiff and Swansea, rich industrial heritage, and distinctive Welsh culture and landscapes.
-
E.
north-east Wales
North-east Wales is a region of Wales encompassing several counties, including Denbighshire, known for its mix of historic towns, rural landscapes, and proximity to the English border.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded609bf68819099ca3aa3fe1acadc |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bcf32a48190b1f036016f2689b7 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:11 a.m.