Triple
T635774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Trent |
E16617
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Newark-on-Trent |
E56921
|
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: Newark-on-Trent | Statement: [River Trent, flowsThrough, Newark-on-Trent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newark-on-Trent Context triple: [River Trent, flowsThrough, Newark-on-Trent]
-
A.
Newark-on-Trent
chosen
Newark-on-Trent is a historic market town in Nottinghamshire, England, known for its medieval castle ruins, role in the English Civil War, and position on the River Trent.
-
B.
Burton upon Trent
Burton upon Trent is a market town in Staffordshire, England, historically renowned for its brewing industry and association with pale ales.
-
C.
Nottingham
Nottingham is a major city in the East Midlands of England, historically known for its lace-making and bicycle industries and famously associated with the legend of Robin Hood.
-
D.
Nuneaton
Nuneaton is a market town in Warwickshire, England, best known as the birthplace of Victorian novelist George Eliot.
-
E.
Yorkton
Yorkton is a small city in southeastern Saskatchewan, Canada, known as a regional hub for agriculture and services.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee667f08190a0332b8f6c569e1a |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1185da8c8190a70f4fd885bbe209 |
completed | March 7, 2026, 11:52 a.m. |
Created at: March 1, 2026, 7:35 p.m.