Triple
T13629822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outer Circle |
E325683
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Cessnock |
E295624
|
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: Cessnock | Statement: [Outer Circle, hasStation, Cessnock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cessnock Context triple: [Outer Circle, hasStation, Cessnock]
-
A.
Cessnock
chosen
Cessnock is a residential district in the Govan area of Glasgow, Scotland, known for its tenement housing and proximity to major city landmarks.
-
B.
Cessnock
Cessnock is a city in New South Wales, Australia, known as a gateway to the Hunter Valley wine region.
-
C.
Cressbrook
Cressbrook is a small village in Derbyshire, England, known for its picturesque setting in the Peak District and its historic former cotton mill by the River Wye.
-
D.
Ockbrook
Ockbrook is a village in Derbyshire, England, known for its historic Moravian settlement and traditional English rural character.
-
E.
Peaslake
Peaslake is a small rural village in Surrey, England, known for its scenic woodland surroundings and popularity with walkers and mountain bikers.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9d803481908101def32817b0eb |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fa895f081908f72a0746afeabed |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:51 p.m.