Triple
T2801665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk, England |
E53163
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Fakenham Magna
Fakenham Magna is a small rural village and civil parish located in the county of Suffolk in eastern England.
|
E299763
|
NE FINISHED |
How this triple was built (4 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: [Suffolk, England, containsSettlement, Fakenham Magna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fakenham Magna Context triple: [Suffolk, England, containsSettlement, Fakenham Magna]
-
A.
Fakenham
Fakenham is a market town in Norfolk, England, known historically for its agriculture and as a local commercial center.
-
B.
Farningham
Farningham is a historic village in the Sevenoaks District of Kent, England, known for its rural character and location on the River Darent.
-
C.
Haddenham
Haddenham is a large village in Buckinghamshire, England, known for its historic architecture and rural setting near the town of Thame.
-
D.
Haddenham
Haddenham is a village and civil parish in Cambridgeshire, England, known for its rural character and historic parish church.
-
E.
Swaffham
Swaffham is a historic market town in the English county of Norfolk, known for its traditional town center and surrounding rural landscape.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fakenham Magna Triple: [Suffolk, England, containsSettlement, Fakenham Magna]
Generated description
Fakenham Magna is a small rural village and civil parish located in the county of Suffolk in eastern England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fakenham Magna Target entity description: Fakenham Magna is a small rural village and civil parish located in the county of Suffolk in eastern England.
-
A.
Fakenham
Fakenham is a market town in Norfolk, England, known historically for its agriculture and as a local commercial center.
-
B.
Farningham
Farningham is a historic village in the Sevenoaks District of Kent, England, known for its rural character and location on the River Darent.
-
C.
Haddenham
Haddenham is a large village in Buckinghamshire, England, known for its historic architecture and rural setting near the town of Thame.
-
D.
Haddenham
Haddenham is a village and civil parish in Cambridgeshire, England, known for its rural character and historic parish church.
-
E.
Swaffham
Swaffham is a historic market town in the English county of Norfolk, known for its traditional town center and surrounding rural landscape.
- F. None of above. chosen
Provenance (5 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abde1117148190b0c98f906f1c872e |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc66d1e488190a4b85decfb38097f |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc8b12b848190ad514eed2d26a90f |
completed | March 10, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc9413e1881908fc091b98913e1cf |
completed | March 10, 2026, 7:33 a.m. |
Created at: March 6, 2026, 9:58 p.m.