Triple
T5290813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go-Ahead Nordic |
E119735
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | The Go-Ahead Group |
E161422
|
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: The Go-Ahead Group | Statement: [Go-Ahead Nordic, partOf, The Go-Ahead Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Go-Ahead Group Context triple: [Go-Ahead Nordic, partOf, The Go-Ahead Group]
-
A.
FirstGroup
FirstGroup is a major UK-based transport operator that runs bus and rail services across the United Kingdom and North America.
-
B.
KeolisAmey Metrolink
KeolisAmey Metrolink is the private operator responsible for running and maintaining Greater Manchester’s Metrolink light rail network in England.
-
C.
Stobart Group Limited
Stobart Group Limited was a UK-based infrastructure and support services company best known for its operations in aviation, energy, and logistics, particularly through the Eddie Stobart transport brand.
-
D.
Go-Ahead Group
chosen
Go-Ahead Group is a major British public transport operator that runs bus and rail services in the UK and internationally.
-
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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84eac7b88190900142bd1310c0fd |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10dfc2948190b65f5e4c9388a5cb |
completed | March 21, 2026, 9:42 p.m. |
Created at: March 20, 2026, 1:52 p.m.