Triple
T7810385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leyland railway station |
E180664
|
entity |
| Predicate | managedBy |
P86
|
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: [Leyland railway station, managedBy, Northern Trains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Northern Trains Context triple: [Leyland railway station, managedBy, 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.
Northern Rail
Northern Rail is a British train operating company providing regional and commuter rail services across Northern England.
-
C.
North West Trains
North West Trains was a British train operating company that ran regional and commuter rail services in North West England following rail privatization in the mid-1990s.
-
D.
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.
-
E.
Thames Trains
Thames Trains was a former British train operating company that provided regional and commuter rail services in the Thames Valley area of England in the late 1990s and early 2000s.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78bb4b08190b2b3b51c5a0a033c |
completed | March 30, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a4724288190b6f18f8cdde080ed |
completed | March 31, 2026, 5:23 a.m. |
Created at: March 30, 2026, 4:37 p.m.