Triple
T771354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bute |
E16287
|
entity |
| Predicate | hasHistoricCounty |
P1069
|
FINISHED |
| Object |
Buteshire
Buteshire is a historic county in western Scotland that encompassed the Isle of Bute and surrounding islands in the Firth of Clyde.
|
E151845
|
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: Buteshire | Statement: [Bute, hasHistoricCounty, Buteshire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buteshire Context triple: [Bute, hasHistoricCounty, Buteshire]
-
A.
Dorset
Dorset is a rural county on England’s south coast, known for its Jurassic Coast World Heritage Site, rolling countryside, and historic market towns.
-
B.
Somerset
Somerset is a historic county in South West England known for its rural landscapes, coastal areas, and cities such as Bath and Wells.
-
C.
Hampshire
Hampshire is a county on England’s south coast known for its historic cities, naval and military heritage, and mix of rural countryside and coastal areas.
-
D.
Berkshire
Berkshire is a historic county in South East England known for its royal connections, including Windsor Castle, and its mix of affluent towns and rural landscapes.
-
E.
Devon
Devon is a county in South West England known for its rugged coastlines, moorland national parks, and historic seaside towns.
- 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: Buteshire Triple: [Bute, hasHistoricCounty, Buteshire]
Generated description
Buteshire is a historic county in western Scotland that encompassed the Isle of Bute and surrounding islands in the Firth of Clyde.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buteshire Target entity description: Buteshire is a historic county in western Scotland that encompassed the Isle of Bute and surrounding islands in the Firth of Clyde.
-
A.
Dorset
Dorset is a rural county on England’s south coast, known for its Jurassic Coast World Heritage Site, rolling countryside, and historic market towns.
-
B.
Somerset
Somerset is a historic county in South West England known for its rural landscapes, coastal areas, and cities such as Bath and Wells.
-
C.
Hampshire
Hampshire is a county on England’s south coast known for its historic cities, naval and military heritage, and mix of rural countryside and coastal areas.
-
D.
Berkshire
Berkshire is a historic county in South East England known for its royal connections, including Windsor Castle, and its mix of affluent towns and rural landscapes.
-
E.
Devon
Devon is a county in South West England known for its rugged coastlines, moorland national parks, and historic seaside towns.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a706abf88190a1cbc2dfbbf9968a |
completed | March 1, 2026, 8:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf0330b4819089042160ff199336 |
completed | March 8, 2026, 12:12 a.m. |
| NEDg | Description generation | batch_69acbf873544819099d3dff98a6b2244 |
completed | March 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc06483b08190b5b29f684b83f43f |
completed | March 8, 2026, 12:18 a.m. |
Created at: March 1, 2026, 7:37 p.m.