Triple
T6889251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edgehill |
E159002
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Kineton
Kineton is a village in Warwickshire, England, known for its proximity to the historic Edgehill battlefield of the English Civil War.
|
E625749
|
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: Kineton | Statement: [Edgehill, locatedNear, Kineton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kineton Context triple: [Edgehill, locatedNear, Kineton]
-
A.
Hinckley
Hinckley is a market town in southwest Leicestershire, England, known historically for its hosiery industry and its location between Coventry and Leicester.
-
B.
Hinckley
Hinckley is a small town in central Utah, United States, known for its rural agricultural setting and proximity to the Sevier Desert.
-
C.
Keele
Keele is a village in Staffordshire, England, best known as the home of Keele University and its extensive rural campus.
-
D.
Kettering
Kettering is a surname most notably associated with American inventor and engineer Charles F. Kettering, known for his influential contributions to automotive and industrial technology.
-
E.
Kettering
Kettering is a market and industrial town in Northamptonshire, England, known historically for its boot and shoe manufacturing and its location on major road and rail routes.
- 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: Kineton Triple: [Edgehill, locatedNear, Kineton]
Generated description
Kineton is a village in Warwickshire, England, known for its proximity to the historic Edgehill battlefield of the English Civil War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kineton Target entity description: Kineton is a village in Warwickshire, England, known for its proximity to the historic Edgehill battlefield of the English Civil War.
-
A.
Hinckley
Hinckley is a market town in southwest Leicestershire, England, known historically for its hosiery industry and its location between Coventry and Leicester.
-
B.
Hinckley
Hinckley is a small town in central Utah, United States, known for its rural agricultural setting and proximity to the Sevier Desert.
-
C.
Keele
Keele is a village in Staffordshire, England, best known as the home of Keele University and its extensive rural campus.
-
D.
Kettering
Kettering is a surname most notably associated with American inventor and engineer Charles F. Kettering, known for his influential contributions to automotive and industrial technology.
-
E.
Kettering
Kettering is a market and industrial town in Northamptonshire, England, known historically for its boot and shoe manufacturing and its location on major road and rail routes.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d9117c84819093dad7b765337b63 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742e71bcc81908231a861be47b7db |
completed | March 28, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69c744036378819083a3be5c50b189b2 |
completed | March 28, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c744eb1cf88190aaf90198d04d4500 |
completed | March 28, 2026, 3:03 a.m. |
Created at: March 27, 2026, 2:23 p.m.