Triple
T18726918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mountsorrel |
E457923
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Sileby
Sileby is a large village and civil parish in Leicestershire, England, known historically for its hosiery and shoe industries and its location between Loughborough and Leicester.
|
E1340938
|
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: Sileby | Statement: [Mountsorrel, near, Sileby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sileby Context triple: [Mountsorrel, near, Sileby]
-
A.
Saxilby
Saxilby is a village and civil parish in Lincolnshire, England, situated near the city of Lincoln along the Fossdyke Navigation.
-
B.
Minstead
Minstead is a small village in Hampshire, England, best known as the burial place of Sir Arthur Conan Doyle.
-
C.
Ellesborough
Ellesborough is a small village and civil parish in Buckinghamshire, England, situated in the Chiltern Hills near the Prime Minister’s country residence at Chequers.
-
D.
Syston
Syston is a town in the Charnwood district of Leicestershire, England, known historically for its market and proximity to the city of Leicester.
-
E.
Ombersley
Ombersley is a village and civil parish in Worcestershire, England, known for its historic timber-framed buildings and rural riverside setting.
- 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: Sileby Triple: [Mountsorrel, near, Sileby]
Generated description
Sileby is a large village and civil parish in Leicestershire, England, known historically for its hosiery and shoe industries and its location between Loughborough and Leicester.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sileby Target entity description: Sileby is a large village and civil parish in Leicestershire, England, known historically for its hosiery and shoe industries and its location between Loughborough and Leicester.
-
A.
Saxilby
Saxilby is a village and civil parish in Lincolnshire, England, situated near the city of Lincoln along the Fossdyke Navigation.
-
B.
Minstead
Minstead is a small village in Hampshire, England, best known as the burial place of Sir Arthur Conan Doyle.
-
C.
Ellesborough
Ellesborough is a small village and civil parish in Buckinghamshire, England, situated in the Chiltern Hills near the Prime Minister’s country residence at Chequers.
-
D.
Syston
Syston is a town in the Charnwood district of Leicestershire, England, known historically for its market and proximity to the city of Leicester.
-
E.
Ombersley
Ombersley is a village and civil parish in Worcestershire, England, known for its historic timber-framed buildings and rural riverside setting.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d74bd9881908cd314e68327c402 |
completed | April 20, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053d2cb5d48190941eb7fd2d7b0208 |
completed | May 14, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_6a053dc33ef881908932e18c90327a64 |
completed | May 14, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a053e2572d481909ca657ab19ad063e |
completed | May 14, 2026, 3:14 a.m. |
Created at: April 10, 2026, 11:50 a.m.