Triple
T13740883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neston railway station |
E330080
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Neston |
E332858
|
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: Neston | Statement: [Neston railway station, locatedIn, Neston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neston Context triple: [Neston railway station, locatedIn, Neston]
-
A.
Neston
chosen
Neston is a small town on the Wirral Peninsula in Cheshire, England, known for its semi-rural character and proximity to both the River Dee and Liverpool.
-
B.
Westgate-on-Sea
Westgate-on-Sea is a small seaside town on the north coast of Kent, England, known for its sandy beaches and Victorian architecture.
-
C.
Caister-on-Sea
Caister-on-Sea is a coastal village and popular holiday resort in Norfolk, England, known for its sandy beaches and historic lifeboat station.
-
D.
Wells-next-the-Sea
Wells-next-the-Sea is a small coastal town in Norfolk, England, known for its picturesque harbor, expansive sandy beach, and traditional seaside charm.
-
E.
Seaham
Seaham is a small rural town in the Hunter Region of New South Wales, Australia, known for its historic buildings and riverside setting.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0206a4b88190a60914e2b43e54f9 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b06b7d1481909a318086d76d3af0 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 9:55 p.m.