Triple
T8293161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk Coastal |
E193947
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Harwich and North Essex |
E30848
|
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: Harwich and North Essex | Statement: [Suffolk Coastal, hasBorderWith, Harwich and North Essex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harwich and North Essex Context triple: [Suffolk Coastal, hasBorderWith, Harwich and North Essex]
-
A.
Essex
chosen
Essex is a county in the east of England, known for its mix of rural landscapes, historic towns, and proximity to London.
-
B.
Ipswich–Lowestoft
Ipswich–Lowestoft is a regional railway line in East Anglia connecting the town of Ipswich in Suffolk with the coastal resort of Lowestoft.
-
C.
Waveney district
Waveney district was a former local government district in Suffolk, England, centered on the town of Lowestoft and named after the River Waveney.
-
D.
Norwich–Lowestoft
Norwich–Lowestoft is a regional passenger rail line in East Anglia connecting the city of Norwich with the coastal town of Lowestoft.
-
E.
Suffolk
Suffolk is a historic rural county in eastern England known for its coastal towns, medieval villages, and agricultural landscapes.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c9deb50819086ae9c97b03fefc3 |
completed | March 31, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6899b818819090c80a8eba7d5d4c |
completed | April 1, 2026, 6:48 p.m. |
Created at: March 30, 2026, 5:52 p.m.