Triple
T1434723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Anglia |
E30534
|
entity |
| Predicate | parentCompany |
P254
|
FINISHED |
| Object | Abellio |
E122414
|
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: Abellio | Statement: [Greater Anglia, parentCompany, Abellio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abellio Context triple: [Greater Anglia, parentCompany, Abellio]
-
A.
Abellio
chosen
Abellio is a Dutch-based public transport company that operates train and bus services in the United Kingdom and parts of Europe.
-
B.
KeolisAmey Metrolink
KeolisAmey Metrolink is the private operator responsible for running and maintaining Greater Manchester’s Metrolink light rail network in England.
-
C.
Arriva Trains Northern
Arriva Trains Northern was a former British train operating company that provided regional and commuter rail services across Northern England.
-
D.
Rail Delivery Group
Rail Delivery Group is the industry body that represents and coordinates Britain’s passenger and freight train operators and Network Rail, working to improve and manage the national rail system.
-
E.
Keolis
Keolis is a major French public transport operator that manages and operates bus, tram, metro, and rail networks in numerous cities worldwide.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad017084908190a81a784ae4a53c21 |
completed | March 8, 2026, 4:56 a.m. |
Created at: March 1, 2026, 8 p.m.