Triple
T1265500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxfordshire |
E12590
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | River Cherwell |
E142578
|
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 Cherwell | Statement: [Oxfordshire, contains, River Cherwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Cherwell Context triple: [Oxfordshire, contains, River Cherwell]
-
A.
River Cherwell
chosen
The River Cherwell is a major tributary of the River Thames in central England, flowing through Northamptonshire and Oxfordshire and notably running through the city of Oxford.
-
B.
River Soar
The River Soar is a major river in central England that flows through Leicestershire and the city of Leicester before joining the River Trent.
-
C.
River Kennet
River Kennet is a significant chalk stream in southern England that flows through Wiltshire and Berkshire before joining the River Thames.
-
D.
River Great Ouse
The River Great Ouse is one of the major rivers in eastern England, flowing through several counties and historic towns before reaching The Wash on the North Sea.
-
E.
Cherwell
Cherwell is a local government district in Oxfordshire, England, encompassing towns such as Banbury, Bicester, and Kidlington.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4c036deb881909b234894347c75c6 |
completed | March 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf379d048190924ad8dfa9ac5e7a |
completed | March 8, 2026, 6:25 p.m. |
Created at: March 1, 2026, 7:50 p.m.