Triple
T485415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Trains |
E9865
|
entity |
| Predicate | serviceArea |
P82
|
FINISHED |
| Object | Merseyside |
E12624
|
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: Merseyside | Statement: [Northern Trains, serviceArea, Merseyside]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merseyside Context triple: [Northern Trains, serviceArea, Merseyside]
-
A.
Merseyside
chosen
Merseyside is a metropolitan county in North West England that includes the city of Liverpool and its surrounding urban areas.
-
B.
Tyne and Wear
Tyne and Wear is a metropolitan county in North East England that includes major urban centers such as Newcastle upon Tyne and Sunderland.
-
C.
Lancashire
Lancashire is a historic county in North West England known for its role in the Industrial Revolution and major towns such as Lancaster, Preston, and Blackpool.
-
D.
Wigan
Wigan is a large town in North West England known historically for its coal mining and cotton industries and today for its rugby league and football clubs.
-
E.
Salford
Salford is a city in Greater Manchester, England, known for its industrial heritage and the modern MediaCityUK development on the Salford Quays.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0bb46788190b40182bf2a54f98f |
completed | Feb. 28, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4d03e47c08190b5e5e37402c6cd21 |
completed | March 1, 2026, 11:48 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.