Triple
T15888517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barlaston railway station |
E385253
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Barlaston |
E385253
|
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: Barlaston | Statement: [Barlaston railway station, locatedIn, Barlaston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barlaston Context triple: [Barlaston railway station, locatedIn, Barlaston]
-
A.
Barlaston
chosen
Barlaston is a village in Staffordshire, England, known for its rural character and proximity to the city of Stoke-on-Trent.
-
B.
Tarfside
Tarfside is a small rural village in Glen Esk in the Angus region of Scotland, known for its scenic Highland landscape and outdoor recreation opportunities.
-
C.
Skenfrith
Skenfrith is a small village in Monmouthshire, Wales, known for its historic riverside setting and its prominent medieval castle.
-
D.
Caldicot
Caldicot is a town in Monmouthshire, South Wales, known for its medieval castle and proximity to the Severn Estuary.
-
E.
Gorseinon
Gorseinon is a suburban town in South Wales known for its community amenities and proximity to Swansea.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561c3d008190a892f091a2f874cf |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb04598e0819094274868941195b9 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.