Triple
T18072008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grantham–Skegness line |
E432452
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Skegness |
—
|
NE NERFINISHED |
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: Skegness | Statement: [Grantham–Skegness line, connectsTo, Skegness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skegness Context triple: [Grantham–Skegness line, connectsTo, Skegness]
-
A.
Skegness
chosen
Skegness is a seaside town and popular holiday resort on the east coast of England.
-
B.
Cleethorpes
Cleethorpes is a seaside resort town on the east coast of England, known for its sandy beaches, promenade, and traditional British holiday attractions.
-
C.
Hornsea
Hornsea is a small seaside town and former fishing village on the North Sea coast of the East Riding of Yorkshire in England, known for its beach, promenade, and nearby Hornsea Mere.
-
D.
Winterton-on-Sea
Winterton-on-Sea is a coastal village in Norfolk, England, known for its sandy beach, dunes, and important wildlife habitats including seal and bird colonies.
-
E.
Gorleston-on-Sea
Gorleston-on-Sea is a coastal town and seaside resort on the North Sea in Norfolk, England, known for its sandy beach and promenade.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccef022c81909be41b2c3a3ee68e |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.