Triple
T1321068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of St Edmundsbury and Ipswich |
E28218
|
entity |
| Predicate | territory |
P2160
|
FINISHED |
| Object | County of Suffolk |
E53163
|
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: County of Suffolk | Statement: [Diocese of St Edmundsbury and Ipswich, territory, County of Suffolk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: County of Suffolk Context triple: [Diocese of St Edmundsbury and Ipswich, territory, County of Suffolk]
-
A.
Suffolk
Suffolk is a historic rural county in eastern England known for its coastal towns, medieval villages, and agricultural landscapes.
-
B.
Norfolk County
Norfolk County is a county in eastern Massachusetts that includes a mix of suburban communities and key urban institutions just outside Boston.
-
C.
Suffolk, England
chosen
Suffolk, England is a historic rural county in East Anglia known for its medieval towns, coastal landscapes, and agricultural heritage.
-
D.
Bedfordshire
Bedfordshire is a ceremonial and non-metropolitan county in the East of England, known for its mix of rural countryside, market towns, and the large town of Luton.
-
E.
Essex
Essex is a county in the east of England, known for its mix of rural landscapes, historic towns, and proximity to London.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19932888190a3d45871e84f112e |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad796ef934819083713b715b93c1b4 |
completed | March 8, 2026, 1:28 p.m. |
Created at: March 1, 2026, 7:55 p.m.