Triple
T1536089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Kesteven |
E32551
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ketton
Ketton is a village and civil parish in Rutland, England, known for its historic limestone quarries and rural character.
|
E177726
|
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: Ketton | Statement: [South Kesteven, contains, Ketton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ketton Context triple: [South Kesteven, contains, Ketton]
-
A.
Knelston
Knelston is a small rural village located on the Gower Peninsula in South Wales, known for its scenic coastal surroundings and traditional Welsh character.
-
B.
Southwell
Southwell is a small coastal settlement on the Isle of Portland in Dorset, England, known for its proximity to dramatic cliffs and quarrying heritage.
-
C.
Laleham
Laleham is a riverside village in Surrey, England, situated on the River Thames and known for its historic church, green spaces, and residential character.
-
D.
Yorkton
Yorkton is a small city in southeastern Saskatchewan, Canada, known as a regional hub for agriculture and services.
-
E.
Sowerby Bridge
Sowerby Bridge is a market town in Calderdale, West Yorkshire, England, known for its industrial heritage, canal and railway junctions, and position in the Upper Calder Valley.
- 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: Ketton Triple: [South Kesteven, contains, Ketton]
Generated description
Ketton is a village and civil parish in Rutland, England, known for its historic limestone quarries and rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ketton Target entity description: Ketton is a village and civil parish in Rutland, England, known for its historic limestone quarries and rural character.
-
A.
Knelston
Knelston is a small rural village located on the Gower Peninsula in South Wales, known for its scenic coastal surroundings and traditional Welsh character.
-
B.
Southwell
Southwell is a small coastal settlement on the Isle of Portland in Dorset, England, known for its proximity to dramatic cliffs and quarrying heritage.
-
C.
Laleham
Laleham is a riverside village in Surrey, England, situated on the River Thames and known for its historic church, green spaces, and residential character.
-
D.
Yorkton
Yorkton is a small city in southeastern Saskatchewan, Canada, known as a regional hub for agriculture and services.
-
E.
Sowerby Bridge
Sowerby Bridge is a market town in Calderdale, West Yorkshire, England, known for its industrial heritage, canal and railway junctions, and position in the Upper Calder Valley.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90829e60081909d3f9f79585e080e |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3706935481909455528b1bc4ce6c |
completed | March 8, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_69ad38a26fb481908a4dbfd855a95b86 |
completed | March 8, 2026, 8:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad39c0b0188190ad49ff69ac88eb88 |
completed | March 8, 2026, 8:56 a.m. |
Created at: March 4, 2026, 7:26 p.m.