Triple
T8377796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River North Tyne |
E197617
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object |
Barrasford
Barrasford is a small village in Northumberland, England, situated in the Tyne Valley and known for its rural setting and proximity to Hadrian’s Wall.
|
E729790
|
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: Barrasford | Statement: [River North Tyne, nearbySettlement, Barrasford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barrasford Context triple: [River North Tyne, nearbySettlement, Barrasford]
-
A.
Cosford
Cosford is a village in Shropshire, England, best known for its close association with RAF Cosford and the Royal Air Force Museum Cosford.
-
B.
Crossford
Crossford is a small village situated in Scotland’s Clyde Valley, known for its rural character and surrounding agricultural landscape.
-
C.
Belchford
Belchford is a small rural village in eastern England, situated within the scenic, rolling countryside of the Lincolnshire Wolds.
-
D.
Bramford
Bramford is a village and civil parish located near Ipswich in the county of Suffolk, England.
-
E.
Farnworth
Farnworth is a town in Greater Manchester, England, historically part of Lancashire and now largely residential with local industry and transport links to nearby urban centers.
- 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: Barrasford Triple: [River North Tyne, nearbySettlement, Barrasford]
Generated description
Barrasford is a small village in Northumberland, England, situated in the Tyne Valley and known for its rural setting and proximity to Hadrian’s Wall.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barrasford Target entity description: Barrasford is a small village in Northumberland, England, situated in the Tyne Valley and known for its rural setting and proximity to Hadrian’s Wall.
-
A.
Cosford
Cosford is a village in Shropshire, England, best known for its close association with RAF Cosford and the Royal Air Force Museum Cosford.
-
B.
Crossford
Crossford is a small village situated in Scotland’s Clyde Valley, known for its rural character and surrounding agricultural landscape.
-
C.
Belchford
Belchford is a small rural village in eastern England, situated within the scenic, rolling countryside of the Lincolnshire Wolds.
-
D.
Bramford
Bramford is a village and civil parish located near Ipswich in the county of Suffolk, England.
-
E.
Farnworth
Farnworth is a town in Greater Manchester, England, historically part of Lancashire and now largely residential with local industry and transport links to nearby urban centers.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80c229708190b813f5e7e44e10d4 |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7fa87908190a504f8aaae125a7a |
completed | April 2, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_69cdebf944008190b7e758ac59257e22 |
completed | April 2, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdeccedf4081909cab853ee1ff1b82 |
completed | April 2, 2026, 4:13 a.m. |
Created at: March 30, 2026, 6:02 p.m.