Triple
T5707709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiltern Railways |
E125825
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Arriva |
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 | Statement: [Chiltern Railways, owner, Arriva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arriva Context triple: [Chiltern Railways, owner, Arriva]
-
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 Poland
Arriva Poland is a Polish public transport operator providing bus and rail services as part of the wider Arriva Group’s European operations.
-
C.
Busbridge
Busbridge is a small village in Surrey, England, situated near the town of Godalming and known for its rural character and historic church.
-
D.
Optibús
Optibús is the bus rapid transit (BRT) system serving the city of León in the Mexican state of Guanajuato.
-
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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024892fd88190a91133fc88365410 |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a6c17608190a9a808c2c77d937c |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:45 p.m.