Triple
T12538347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fakenham Magna |
E299763
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Fakenham Magna |
E299763
|
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 Magna | Statement: [Fakenham Magna, hasName, Fakenham Magna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fakenham Magna Context triple: [Fakenham Magna, hasName, Fakenham Magna]
-
A.
Fakenham Magna
chosen
Fakenham Magna is a small rural village and civil parish located in the county of Suffolk in eastern England.
-
B.
Fakenham
Fakenham is a market town in Norfolk, England, known historically for its agriculture and as a local commercial center.
-
C.
Farningham
Farningham is a historic village in the Sevenoaks District of Kent, England, known for its rural character and location on the River Darent.
-
D.
Harnham
Harnham is a suburb of Salisbury in Wiltshire, England, known for its historic buildings and scenic riverside setting near Salisbury Cathedral.
-
E.
Haddenham
Haddenham is a large village in Buckinghamshire, England, known for its historic architecture and rural setting near the town of Thame.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546ebf508190ae54857e4289c6e4 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65eb10618819092540de09997a0c5 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:57 p.m.