Triple
T289014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shrewsbury Castle |
E5947
|
entity |
| Predicate | hasView |
P854
|
FINISHED |
| Object | River Severn |
E6663
|
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: River Severn | Statement: [Shrewsbury Castle, hasView, River Severn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Severn Context triple: [Shrewsbury Castle, hasView, River Severn]
-
A.
Severn
chosen
The Severn is the longest river in Great Britain, flowing through Wales and England before emptying into the Bristol Channel.
-
B.
River Trent
The River Trent is one of the principal rivers in the Midlands of England, flowing through cities such as Stoke-on-Trent and Nottingham before joining the Humber Estuary.
-
C.
Thames
The Thames is a major river in southern England that flows through London and has long been central to the country’s history, commerce, and culture.
-
D.
Neath
Neath is a historic industrial and market town in South Wales, known for its Roman and medieval heritage and its role in the coal and steel industries.
-
E.
River Taff
The River Taff is a major river in South Wales that flows through Merthyr Tydfil and Cardiff before reaching the Bristol Channel.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e2f5c0081908e548b314f5e986d |
completed | Feb. 28, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c8b480388190b5f7f9e11479de91 |
completed | March 1, 2026, 5:03 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.