Triple
T3089694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk |
E64456
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Freckenham
Freckenham is a small rural village and civil parish located in the English county of Suffolk.
|
E324528
|
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: Freckenham | Statement: [Suffolk, containsSettlement, Freckenham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freckenham Context triple: [Suffolk, containsSettlement, Freckenham]
-
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.
Finchampstead
Finchampstead is a village and civil parish in Berkshire, England, known for its affluent residential character and proximity to the town of Wokingham.
-
D.
Grayshott
Grayshott is a village in Hampshire, England, known as the birthplace of actor Colin Firth.
-
E.
Shrivenham
Shrivenham is a village in Oxfordshire, England, known for its historic high street, rural setting, and association with nearby military and academic institutions.
- 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: Freckenham Triple: [Suffolk, containsSettlement, Freckenham]
Generated description
Freckenham is a small rural village and civil parish located in the English county of Suffolk.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Freckenham Target entity description: Freckenham is a small rural village and civil parish located in the English county of Suffolk.
-
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.
Finchampstead
Finchampstead is a village and civil parish in Berkshire, England, known for its affluent residential character and proximity to the town of Wokingham.
-
D.
Grayshott
Grayshott is a village in Hampshire, England, known as the birthplace of actor Colin Firth.
-
E.
Shrivenham
Shrivenham is a village in Oxfordshire, England, known for its historic high street, rural setting, and association with nearby military and academic institutions.
- 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_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. |
| NEDg | Description generation | batch_69b1f9617d2c8190884de2cd1d5fa88b |
completed | March 11, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f9da6ffc81909f84c2b9ac9e7f68 |
completed | March 11, 2026, 11:25 p.m. |
Created at: March 8, 2026, 3:03 p.m.