Triple
T18827337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarporley |
E460422
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object |
Rushton
Rushton is a small rural village and civil parish in Cheshire, England, known for its countryside setting and historic character.
|
E1347349
|
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: Rushton | Statement: [Tarporley, hasNearbySettlement, Rushton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rushton Context triple: [Tarporley, hasNearbySettlement, Rushton]
-
A.
Ruskington
Ruskington is a large village and civil parish in Lincolnshire, England, known for its rural character and position near the River Slea.
-
B.
Rushworth
Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
-
C.
Rushworth
Rushworth is a small rural town in northern Victoria, Australia, known for its gold rush heritage and historic streetscape.
-
D.
Rushden
Rushden is a market town in the East Midlands of England known for its historical shoe and boot manufacturing industry and later retail and leisure developments.
-
E.
Rushden
Rushden is a small rural village in the North Hertfordshire district of Hertfordshire, England.
- 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: Rushton Triple: [Tarporley, hasNearbySettlement, Rushton]
Generated description
Rushton is a small rural village and civil parish in Cheshire, England, known for its countryside setting and historic character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rushton Target entity description: Rushton is a small rural village and civil parish in Cheshire, England, known for its countryside setting and historic character.
-
A.
Ruskington
Ruskington is a large village and civil parish in Lincolnshire, England, known for its rural character and position near the River Slea.
-
B.
Rushworth
Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
-
C.
Rushworth
Rushworth is a small rural town in northern Victoria, Australia, known for its gold rush heritage and historic streetscape.
-
D.
Rushden
Rushden is a small rural village in the North Hertfordshire district of Hertfordshire, England.
-
E.
Rushden
Rushden is a market town in the East Midlands of England known for its historical shoe and boot manufacturing industry and later retail and leisure developments.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bfa4a88190b17d3118121414be |
completed | April 20, 2026, 4:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0575ac249c8190989b9de40eb8a444 |
completed | May 14, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_6a0576d2baac8190a9cd366978471809 |
completed | May 14, 2026, 7:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0577ca320481909b26700820ad4820 |
completed | May 14, 2026, 7:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.