Triple
T697066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montgomeryshire |
E13915
|
entity |
| Predicate | containsArea |
P11790
|
FINISHED |
| Object | Severn Valley |
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: Severn Valley | Statement: [Montgomeryshire, containsArea, Severn Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Severn Valley Context triple: [Montgomeryshire, containsArea, Severn Valley]
-
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 Kennet
River Kennet is a significant chalk stream in southern England that flows through Wiltshire and Berkshire before joining the River Thames.
-
C.
Tarn River
The Tarn River is a major river in southern France known for its dramatic gorges, scenic valleys, and role as a tributary of the Garonne.
-
D.
Cherwell
Cherwell is a local government district in Oxfordshire, England, encompassing towns such as Banbury, Bicester, and Kidlington.
-
E.
River Avon
The River Avon is a major river in southwest England that flows through the city of Bath and eventually joins the River Severn.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c8055881909565ebde2be8fd7a |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d6ed1f881909fea81ce4308075b |
completed | March 3, 2026, 11:23 p.m. |
Created at: March 1, 2026, 7:36 p.m.