Triple
T22664682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clayton, West Sussex |
E559753
|
entity |
| Predicate | district |
P2709
|
FINISHED |
| Object | Mid Sussex |
—
|
NE NERFINISHED |
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: Mid Sussex | Statement: [Clayton, West Sussex, district, Mid Sussex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mid Sussex Context triple: [Clayton, West Sussex, district, Mid Sussex]
-
A.
Mid Sussex District
chosen
Mid Sussex District is a local government district in West Sussex, England, encompassing towns such as Haywards Heath, Burgess Hill, and East Grinstead.
-
B.
West Sussex
West Sussex is a county in South East England known for its mix of coastal towns, rural countryside, and historic market settlements.
-
C.
East Sussex
East Sussex is a county in South East England known for its English Channel coastline, the South Downs, and historic towns such as Hastings and Lewes.
-
D.
County of Sussex
The County of Sussex is a historic county in South East England, known for its coastal towns, rolling South Downs, and long-standing political and social significance.
-
E.
Huntingdonshire
Huntingdonshire is a historic county and former administrative district in eastern England, now largely incorporated into Cambridgeshire.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781b3dbc8190a312843cf8c1bfc6 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:08 p.m.