Triple
T2883680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M53 motorway |
E59455
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Wirral |
E73697
|
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: Wirral | Statement: [M53 motorway, serves, Wirral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wirral Context triple: [M53 motorway, serves, Wirral]
-
A.
Wirral
chosen
Wirral is a peninsula in North West England known for its mix of coastal towns, suburban areas, and countryside between the River Mersey and the River Dee.
-
B.
Wirral South
Wirral South is a UK parliamentary constituency on the Wirral Peninsula in Merseyside, represented in the House of Commons.
-
C.
Sefton
Sefton is a metropolitan borough in North West England that includes coastal towns such as Southport and forms part of the Liverpool City Region.
-
D.
Merseyside
Merseyside is a metropolitan county in North West England that includes the city of Liverpool and its surrounding urban areas.
-
E.
Widnes
Widnes is an industrial town in Cheshire, England, historically known for its chemical industry and location on the River Mersey.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe02e0ec48190b969ed921d179560 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03167d7dc819093e91e0d42f3de6f |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:03 p.m.