Triple
T1049485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arriva UK Trains |
E22661
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object |
Arriva
Arriva is a major European public transport company that operates bus, coach, train, tram, and waterbus services across multiple countries.
|
E119079
|
NE FINISHED |
How this triple was built (4 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, parentOrganization, Arriva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arriva Context triple: [Arriva UK Trains, parentOrganization, Arriva]
-
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.
Keolis
Keolis is a major French public transport operator that manages and operates bus, tram, metro, and rail networks in numerous cities worldwide.
-
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.
Trolebús
Trolebús is an electric trolleybus transit system serving Mexico City as part of its broader public transportation network.
-
E.
Byfleet
Byfleet is a village and former civil parish in southeast England, situated within the county of Surrey.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arriva Triple: [Arriva UK Trains, parentOrganization, Arriva]
Generated description
Arriva is a major European public transport company that operates bus, coach, train, tram, and waterbus services across multiple countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arriva Target entity description: Arriva is a major European public transport company that operates bus, coach, train, tram, and waterbus services across multiple countries.
-
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.
Keolis
Keolis is a major French public transport operator that manages and operates bus, tram, metro, and rail networks in numerous cities worldwide.
-
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.
Trolebús
Trolebús is an electric trolleybus transit system serving Mexico City as part of its broader public transportation network.
-
E.
Byfleet
Byfleet is a village and former civil parish in southeast England, situated within the county of Surrey.
- F. None of above. chosen
Provenance (5 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_69ac3bcd3a4481908f7d9f13e3697fa9 |
completed | March 7, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_69ac3c42c2c081909ccadbf944d3aa6c |
completed | March 7, 2026, 2:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3cbea1708190a16951194f13ed5e |
completed | March 7, 2026, 2:57 p.m. |
Created at: March 1, 2026, 7:42 p.m.