Triple
T5313097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arriva |
E119079
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object | Arriva Express |
E119079
|
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 Express | Statement: [Arriva, ownsBrand, Arriva Express]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arriva Express Context triple: [Arriva, ownsBrand, Arriva Express]
-
A.
Arriva
chosen
Arriva is a major European public transport company that operates bus, coach, train, tram, and waterbus services across multiple countries.
-
B.
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.
-
C.
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.
-
D.
Gatwick Express
Gatwick Express is a non-stop train service in the United Kingdom that connects central London with Gatwick Airport.
-
E.
Heathrow Express
Heathrow Express is a non-stop high-speed train service linking London Paddington station with Heathrow Airport, providing one of the fastest rail connections between central London and the airport.
- 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.