Triple
T1049494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arriva UK Trains |
E22661
|
entity |
| Predicate | subsidiaryOf |
P254
|
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: [Arriva UK Trains, subsidiaryOf, Arriva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arriva Context triple: [Arriva UK Trains, subsidiaryOf, 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.
Busbridge
Busbridge is a small village in Surrey, England, situated near the town of Godalming and known for its rural character and historic church.
-
C.
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.
-
D.
Keolis
Keolis is a major French public transport operator that manages and operates bus, tram, metro, and rail networks in numerous cities worldwide.
-
E.
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.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b2c6208190b6fdf3e93b1b1d04 |
completed | March 1, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c1b4c3481909ec58291dc9cc32f |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:42 p.m.