Triple
T217870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cardiff Central |
E4146
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Transport for Wales |
E10845
|
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: Transport for Wales | Statement: [Cardiff Central, operator, Transport for Wales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Transport for Wales Context triple: [Cardiff Central, operator, Transport for Wales]
-
A.
Transport for Wales Rail
chosen
Transport for Wales Rail is a Welsh train operating company that provides regional and intercity rail services across Wales and into parts of England.
-
B.
Northern Trains
Northern Trains is a British train operating company that runs local and regional passenger rail services across Northern England.
-
C.
TransPennine Express
TransPennine Express is a British train operating company providing intercity and regional rail services across northern England and into Scotland.
-
D.
Transport for London
Transport for London is the local government body responsible for managing and overseeing the public transport network and major roads in Greater London.
-
E.
Arriva UK Trains
Arriva UK Trains is a major British train operating company that manages several passenger rail franchises and services across the United Kingdom.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c5062e48190833be10e4770e1e9 |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a35274ba1c8190bc8d5ae975501d35 |
completed | Feb. 28, 2026, 8:39 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.