Triple
T5313085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arriva |
E119079
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Arriva Rail London |
E22661
|
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: Arriva Rail London | Statement: [Arriva, hasSubsidiary, Arriva Rail London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arriva Rail London Context triple: [Arriva, hasSubsidiary, Arriva Rail London]
-
A.
Arriva UK Trains
chosen
Arriva UK Trains is a major British train operating company that manages several passenger rail franchises and services across the United Kingdom.
-
B.
Greater Anglia
Greater Anglia is a British train operating company that provides passenger rail services across East Anglia and parts of London and the East of England.
-
C.
City Thameslink
City Thameslink is a central London railway station on the Thameslink route, serving commuter and regional services through the City of London.
-
D.
Arriva Trains Northern
Arriva Trains Northern was a former British train operating company that provided regional and commuter rail services across Northern England.
-
E.
Tramlink
Tramlink is a light rail tram system serving the Croydon area and surrounding districts in South London.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8536c06c81908ef8ba8c39b4fa30 |
completed | March 20, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf1106ef9c8190811f7b70e784c962 |
completed | March 21, 2026, 9:43 p.m. |
Created at: March 20, 2026, 1:54 p.m.