Triple
T6665512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rushcliffe district |
E151590
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Screveton
Screveton is a small rural village and civil parish in Nottinghamshire, England, known for its historic church and traditional countryside character.
|
E608986
|
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: Screveton | Statement: [Rushcliffe district, contains, Screveton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Screveton Context triple: [Rushcliffe district, contains, Screveton]
-
A.
Scorton
Scorton is a small rural village in Lancashire, England, known for its scenic setting near the Forest of Bowland and its surrounding countryside.
-
B.
Tesseney
Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
-
C.
Sarsden
Sarsden is a small rural village in Oxfordshire, England, known for its historic manor house and picturesque countryside setting.
-
D.
Sarratt
Sarratt is a rural village in Hertfordshire, England, known for its traditional village green, historic buildings, and scenic Chilterns countryside.
-
E.
Levington
Levington is a small rural village and civil parish in Suffolk, England, situated near the River Orwell and known for its agricultural landscape and historic church.
- 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: Screveton Triple: [Rushcliffe district, contains, Screveton]
Generated description
Screveton is a small rural village and civil parish in Nottinghamshire, England, known for its historic church and traditional countryside character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Screveton Target entity description: Screveton is a small rural village and civil parish in Nottinghamshire, England, known for its historic church and traditional countryside character.
-
A.
Scorton
Scorton is a small rural village in Lancashire, England, known for its scenic setting near the Forest of Bowland and its surrounding countryside.
-
B.
Tesseney
Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
-
C.
Sarsden
Sarsden is a small rural village in Oxfordshire, England, known for its historic manor house and picturesque countryside setting.
-
D.
Sarratt
Sarratt is a rural village in Hertfordshire, England, known for its traditional village green, historic buildings, and scenic Chilterns countryside.
-
E.
Levington
Levington is a small rural village and civil parish in Suffolk, England, situated near the River Orwell and known for its agricultural landscape and historic church.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b09d97648190a254cabc0ffcb0dc |
completed | March 27, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef0e33308190995fcccf50d134c1 |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a3f0b481908dfe70d626277e8f |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f1a3995c8190b22766356b6e6bf8 |
completed | March 27, 2026, 9:07 p.m. |
Created at: March 27, 2026, 2:02 p.m.