Triple
T2595210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breckland district |
E58212
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Norfolk County |
E445301
|
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: Norfolk County | Statement: [Breckland district, partOf, Norfolk County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norfolk County Context triple: [Breckland district, partOf, Norfolk County]
-
A.
Norfolk County
Norfolk County is a county in eastern Massachusetts that includes a mix of suburban communities and key urban institutions just outside Boston.
-
B.
Norfolk County
Norfolk County is a largely rural single-tier municipality in southwestern Ontario, Canada, known for its agriculture, Lake Erie shoreline, and small communities such as Simcoe and Port Dover.
-
C.
Norfolk county
chosen
Norfolk county is a historic and predominantly rural county in the East of England, known for its flat landscapes, extensive coastline, and market towns such as Norwich and King’s Lynn.
-
D.
Suffolk
Suffolk is a historic rural county in eastern England known for its coastal towns, medieval villages, and agricultural landscapes.
-
E.
Hampshire
Hampshire is a county on England’s south coast known for its historic cities, naval and military heritage, and mix of rural countryside and coastal areas.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd42978f881909f217e7ec9ac3144 |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0ffd52188190addb5fa69c45e9d7 |
completed | March 21, 2026, 3:26 a.m. |
Created at: March 6, 2026, 9:49 p.m.