Triple
T16661291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutland Water |
E404864
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Oakham |
E404862
|
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: Oakham | Statement: [Rutland Water, near, Oakham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oakham Context triple: [Rutland Water, near, Oakham]
-
A.
Oakham
chosen
Oakham is a historic market town in England’s East Midlands and the principal settlement of the county of Rutland.
-
B.
Bearbrook
Bearbrook is a small river or stream running through the town of Aylesbury in Buckinghamshire, England.
-
C.
Hamstead
Hamstead is a suburban residential area in the West Midlands, England, situated between Birmingham and Sandwell.
-
D.
Loughborough
Loughborough is a large market and university town in Leicestershire, England, known for Loughborough University and its strong engineering and sports science reputation.
-
E.
Leamington
Leamington is a town in southwestern Ontario, Canada, known for its greenhouse agriculture and proximity to Point Pelee National Park on the shores of Lake Erie.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bfee5448190bb44c4dadba5dcbd |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091901fd88190a3c0e4b133121a02 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:18 a.m.