Triple
T1374317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midlothian |
E30185
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Bilston
Bilston is a small village in Midlothian, Scotland, known for its rural character and proximity to Edinburgh.
|
E160839
|
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: Bilston | Statement: [Midlothian, hasVillage, Bilston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bilston Context triple: [Midlothian, hasVillage, Bilston]
-
A.
Broseley
Broseley is a small historic town in Shropshire, England, known for its role in the early Industrial Revolution and its proximity to the Ironbridge Gorge World Heritage Site.
-
B.
Bishopston
Bishopston is a coastal village in Swansea, Wales, known for its scenic location near the Gower Peninsula’s cliffs and beaches.
-
C.
Coatbridge
Coatbridge is a town in North Lanarkshire, Scotland, historically known for its heavy industry and ironworks during the 19th century.
-
D.
Solihull
Solihull is a large town and metropolitan borough in England known for its affluent suburbs, historic architecture, and proximity to Birmingham in the West Midlands.
-
E.
Glossop
Glossop is a market town in Derbyshire, England, situated on the edge of the Peak District and historically associated with the textile industry.
- 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: Bilston Triple: [Midlothian, hasVillage, Bilston]
Generated description
Bilston is a small village in Midlothian, Scotland, known for its rural character and proximity to Edinburgh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bilston Target entity description: Bilston is a small village in Midlothian, Scotland, known for its rural character and proximity to Edinburgh.
-
A.
Broseley
Broseley is a small historic town in Shropshire, England, known for its role in the early Industrial Revolution and its proximity to the Ironbridge Gorge World Heritage Site.
-
B.
Bishopston
Bishopston is a coastal village in Swansea, Wales, known for its scenic location near the Gower Peninsula’s cliffs and beaches.
-
C.
Coatbridge
Coatbridge is a town in North Lanarkshire, Scotland, historically known for its heavy industry and ironworks during the 19th century.
-
D.
Solihull
Solihull is a large town and metropolitan borough in England known for its affluent suburbs, historic architecture, and proximity to Birmingham in the West Midlands.
-
E.
Glossop
Glossop is a market town in Derbyshire, England, situated on the edge of the Peak District and historically associated with the textile industry.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2f660888190bc9240e0dc4f0aa3 |
completed | March 1, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde1a576c81909379c2c0e350cd12 |
completed | March 8, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_69acdeef1b3c81908210246be0a8b37d |
completed | March 8, 2026, 2:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace0042cd08190a0e1499d4c8e0769 |
completed | March 8, 2026, 2:33 a.m. |
Created at: March 1, 2026, 7:57 p.m.