Triple
T468383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Road railway station |
E8499
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Northern Trains |
E9865
|
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: Northern Trains | Statement: [London Road railway station, servedBy, Northern Trains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Northern Trains Context triple: [London Road railway station, servedBy, Northern Trains]
-
A.
Northern Trains
chosen
Northern Trains is a British train operating company that runs local and regional passenger rail services across Northern England.
-
B.
Virgin Trains
Virgin Trains was a British train operating company under Richard Branson’s Virgin Group brand that ran long-distance passenger rail services in the UK.
-
C.
Thameslink
Thameslink is a major British rail network providing cross-London services that connect destinations across the South East of England.
-
D.
TransPennine Express
TransPennine Express is a British train operating company providing intercity and regional rail services across northern England and into Scotland.
-
E.
National Rail
National Rail is the collective name for the passenger rail services and network in Great Britain, encompassing most regional and intercity train operations outside of urban metro systems.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efd9bea081909ee782840f3da12b |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a46c5c08108190bd043ae4f8908fc6 |
completed | March 1, 2026, 4:42 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.