Triple
T10398172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jubilee River |
E245074
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Dorney |
E238933
|
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: Dorney | Statement: [Jubilee River, passesNear, Dorney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorney Context triple: [Jubilee River, passesNear, Dorney]
-
A.
Dorney
chosen
Dorney is a village and civil parish in Buckinghamshire, England, best known for Dorney Lake, a major rowing venue used in the 2012 London Olympics.
-
B.
Durley
Durley is a small rural village in Hampshire, England, known for its countryside setting and traditional English character.
-
C.
Winstone
Winstone is an English surname most notably borne by actor Ray Winstone, known for his tough-guy roles in film and television.
-
D.
Cheveley
Cheveley is a small rural village and civil parish in eastern England, known for its historic church and proximity to the horse-racing town of Newmarket.
-
E.
Conolly
Conolly is a surname most notably associated with Arthur Conolly, a 19th-century British intelligence officer and explorer involved in the "Great Game" in Central Asia.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9d1f2408190beaa8197641c66b4 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbc759a08190be677bf5458af0c8 |
completed | April 9, 2026, 7:19 p.m. |
Created at: April 6, 2026, 12:07 p.m.