Triple
T1218656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Wales |
E26166
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Llanelli |
E17782
|
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: Llanelli | Statement: [West Wales, contains, Llanelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llanelli Context triple: [West Wales, contains, Llanelli]
-
A.
Llanelli
chosen
Llanelli is a coastal industrial town in Carmarthenshire, South Wales, historically known for its tinplate industry and strong rugby union tradition.
-
B.
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.
-
C.
Carmarthen
Carmarthen is a historic market town in southwest Wales, often regarded as one of the oldest towns in the country and traditionally linked with the legends of Merlin.
-
D.
Cwmbran
Cwmbran is a large new town in South Wales known for its extensive shopping centre and post-war planned development.
-
E.
Maesteg
Maesteg is a former coal-mining town in the Llynfi Valley of South Wales, known for its industrial heritage and close-knit community.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be08157c8190b248bb75b922644f |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1a06d7c8190b6c38ff6d18a4542 |
completed | March 8, 2026, 7:44 p.m. |
Created at: March 1, 2026, 7:46 p.m.