Triple
T12001475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Nene |
E285672
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Rushden |
E333811
|
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: Rushden | Statement: [River Nene, passesThrough, Rushden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rushden Context triple: [River Nene, passesThrough, Rushden]
-
A.
Rushden
chosen
Rushden is a market town in the East Midlands of England known for its historical shoe and boot manufacturing industry and later retail and leisure developments.
-
B.
Rushden
Rushden is a small rural village in the North Hertfordshire district of Hertfordshire, England.
-
C.
Ruddington
Ruddington is a large village in Nottinghamshire, England, known for its historic framework knitting industry and the Great Central Railway heritage centre.
-
D.
Nuneaton
Nuneaton is a market town in Warwickshire, England, best known as the birthplace of Victorian novelist George Eliot.
-
E.
Bicester
Bicester is a historic market town in Oxfordshire, England, best known today for its rapid growth and the popular designer outlet shopping destination Bicester Village.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c36b248190b446b17def94885b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4729eb4a081909d93b3fc74509d86 |
completed | May 1, 2026, 9:30 a.m. |
Created at: April 8, 2026, 9:46 p.m.