Triple
T3512887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ProRail |
E74236
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | Keolis Nederland |
E27063
|
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 Nederland | Statement: [ProRail, collaboratesWith, Keolis Nederland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keolis Nederland Context triple: [ProRail, collaboratesWith, Keolis Nederland]
-
A.
Keolis
chosen
Keolis is a major French public transport operator that manages and operates bus, tram, metro, and rail networks in numerous cities worldwide.
-
B.
Abellio
Abellio is a Dutch-based public transport company that operates train and bus services in the United Kingdom and parts of Europe.
-
C.
KeolisAmey Metrolink
KeolisAmey Metrolink is the private operator responsible for running and maintaining Greater Manchester’s Metrolink light rail network in England.
-
D.
FirstGroup
FirstGroup is a major UK-based transport operator that runs bus and rail services across the United Kingdom and North America.
-
E.
Go-Ahead Nordic
Go-Ahead Nordic is a Scandinavian rail operator that runs passenger train services in Norway, including routes serving major hubs like Oslo Central Station.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc2d0bf481909d1f19a87d147b63 |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e76c3a08190831402ff0c680196 |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:19 p.m.