Triple
T13234538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorkshire coalfield |
E315109
|
entity |
| Predicate | majorMiningTowns |
P105974
|
FINISHED |
| Object |
Askern
Askern is a former coal mining town in South Yorkshire, England, historically known for its colliery and later as a small commuter and residential community.
|
E1029681
|
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: Askern | Statement: [Yorkshire coalfield, majorMiningTowns, Askern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Askern Context triple: [Yorkshire coalfield, majorMiningTowns, Askern]
-
A.
Barholm
Barholm is a small village and civil parish in Lincolnshire, England, known for its rural character and historic parish church.
-
B.
Askham
Askham is a small village in Cumbria, England, known for its traditional stone buildings and scenic setting near the Lake District National Park.
-
C.
Dechmont
Dechmont is a small village in West Lothian, Scotland, known for its rural setting and proximity to Livingston.
-
D.
Arbirlot
Arbirlot is a small rural village in the Angus council area of eastern Scotland, known for its historic parish church and scenic countryside setting near the North Sea coast.
-
E.
Dunkeld
Dunkeld is a historic town in Perth and Kinross, Scotland, known for its picturesque setting on the River Tay and its medieval cathedral.
- 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: Askern Triple: [Yorkshire coalfield, majorMiningTowns, Askern]
Generated description
Askern is a former coal mining town in South Yorkshire, England, historically known for its colliery and later as a small commuter and residential community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Askern Target entity description: Askern is a former coal mining town in South Yorkshire, England, historically known for its colliery and later as a small commuter and residential community.
-
A.
Barholm
Barholm is a small village and civil parish in Lincolnshire, England, known for its rural character and historic parish church.
-
B.
Askham
Askham is a small village in Cumbria, England, known for its traditional stone buildings and scenic setting near the Lake District National Park.
-
C.
Dechmont
Dechmont is a small village in West Lothian, Scotland, known for its rural setting and proximity to Livingston.
-
D.
Arbirlot
Arbirlot is a small rural village in the Angus council area of eastern Scotland, known for its historic parish church and scenic countryside setting near the North Sea coast.
-
E.
Dunkeld
Dunkeld is a historic town in Perth and Kinross, Scotland, known for its picturesque setting on the River Tay and its medieval cathedral.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f71c5388190a6e122e14384efd7 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2dca2c81909cab1aa868ad575d |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f70476310c8190b13dc948c1f1ce95 |
completed | May 3, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70578047c819089fc3044eceb4eac |
completed | May 3, 2026, 8:21 a.m. |
Created at: April 9, 2026, 9:22 p.m.