Triple
T5313096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arriva |
E119079
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object | Arriva Trains |
E137402
|
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 Trains | Statement: [Arriva, ownsBrand, Arriva Trains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arriva Trains Context triple: [Arriva, ownsBrand, Arriva Trains]
-
A.
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.
-
B.
Arriva Trains Northern
chosen
Arriva Trains Northern was a former British train operating company that provided regional and commuter rail services across Northern England.
-
C.
Virgin Trains
Virgin Trains was a British train operating company under Richard Branson’s Virgin Group brand that ran long-distance passenger rail services in the UK.
-
D.
Arriva Trains Wales
Arriva Trains Wales was a former UK train operating company that provided passenger rail services across Wales and the English border regions from 2003 to 2018.
-
E.
Northern Trains
Northern Trains is a British train operating company that runs local and regional passenger rail services across Northern England.
- 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_69bf21b546a481909d18cad5ec391705 |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 1:54 p.m.