Triple
T3300166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Ryburgh |
E69309
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Fakenham |
E11874
|
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: Fakenham | Statement: [Great Ryburgh, near, Fakenham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fakenham Context triple: [Great Ryburgh, near, Fakenham]
-
A.
Fakenham
chosen
Fakenham is a market town in Norfolk, England, known historically for its agriculture and as a local commercial center.
-
B.
Swaffham
Swaffham is a historic market town in the English county of Norfolk, known for its traditional town center and surrounding rural landscape.
-
C.
Fakenham Magna
Fakenham Magna is a small rural village and civil parish located in the county of Suffolk in eastern England.
-
D.
Wroxham
Wroxham is a village in Norfolk, England, widely regarded as the main boating and tourist centre of the Norfolk Broads.
-
E.
Freckenham
Freckenham is a small rural village and civil parish located in the English county of Suffolk.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a66fcc819093931fe7a6507723 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373911a00819092e4436b6a931d61 |
completed | March 13, 2026, 2:16 a.m. |
Created at: March 8, 2026, 3:11 p.m.