Triple
T1467796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keolis |
E27063
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Keolis Amey |
E73669
|
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: Keolis Amey | Statement: [Keolis, hasSubsidiary, Keolis Amey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keolis Amey Context triple: [Keolis, hasSubsidiary, Keolis Amey]
-
A.
Keolis
Keolis is a major French public transport operator that manages and operates bus, tram, metro, and rail networks in numerous cities worldwide.
-
B.
KeolisAmey Metrolink
chosen
KeolisAmey Metrolink is the private operator responsible for running and maintaining Greater Manchester’s Metrolink light rail network in England.
-
C.
FirstGroup
FirstGroup is a major UK-based transport operator that runs bus and rail services across the United Kingdom and North America.
-
D.
Abellio
Abellio is a Dutch-based public transport company that operates train and bus services in the United Kingdom and parts of Europe.
-
E.
Go-Ahead Group
Go-Ahead Group is a major British public transport operator that runs bus and rail services in the UK and internationally.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5d70a948190b50a6c1b36abc740 |
completed | March 1, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2940a44c8190967a62781cca0306 |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 1, 2026, 8:01 p.m.