Triple
T3089653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk |
E64456
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Great Blakenham |
E299718
|
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: Great Blakenham | Statement: [Suffolk, containsSettlement, Great Blakenham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Great Blakenham Context triple: [Suffolk, containsSettlement, Great Blakenham]
-
A.
Great Blakenham
chosen
Great Blakenham is a small village and civil parish in Suffolk, England, situated near Ipswich in the East of England.
-
B.
Wroxham Broad
Wroxham Broad is a popular, scenic boating and wildlife area on the River Bure in the Norfolk Broads of eastern England.
-
C.
Chew Brook
Chew Brook is a stream in Greater Manchester, England, that feeds into Chew Reservoir within the Peak District moorlands.
-
D.
The Old Bedford
The Old Bedford is a painting by British artist Walter Sickert depicting the lively interior of the Bedford Music Hall in Camden Town, London.
-
E.
Great Shelford
Great Shelford is a large, affluent commuter village and civil parish just south of Cambridge in eastern England, known for its strong community amenities and proximity to the city.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada20d8f788190b05b8b6b5042bc1a |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f8a4c1f08190a80efd190e4ed07f |
completed | March 11, 2026, 11:20 p.m. |
Created at: March 8, 2026, 3:03 p.m.