Triple
T8879262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Dearne |
E211366
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Mexborough
Mexborough is a town in South Yorkshire, England, historically known for its coal mining and pottery industries and situated between Doncaster and Rotherham.
|
E764789
|
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: Mexborough | Statement: [River Dearne, flowsThrough, Mexborough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mexborough Context triple: [River Dearne, flowsThrough, Mexborough]
-
A.
Yatesville
Yatesville is a small town located in the U.S. state of Georgia.
-
B.
Lanesborough
Lanesborough is a small Irish town situated on the River Shannon, known for its scenic waterfront and location on the border of County Longford and County Roscommon.
-
C.
Lanesborough
Lanesborough is a small town in western Massachusetts known for its rural character and proximity to the Berkshire Mountains.
-
D.
Morrisburg
Morrisburg is a small community in eastern Ontario, Canada, located along the St. Lawrence River and known for its historical sites and riverside setting.
-
E.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
- 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: Mexborough Triple: [River Dearne, flowsThrough, Mexborough]
Generated description
Mexborough is a town in South Yorkshire, England, historically known for its coal mining and pottery industries and situated between Doncaster and Rotherham.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mexborough Target entity description: Mexborough is a town in South Yorkshire, England, historically known for its coal mining and pottery industries and situated between Doncaster and Rotherham.
-
A.
Yatesville
Yatesville is a small town located in the U.S. state of Georgia.
-
B.
Lanesborough
Lanesborough is a small Irish town situated on the River Shannon, known for its scenic waterfront and location on the border of County Longford and County Roscommon.
-
C.
Lanesborough
Lanesborough is a small town in western Massachusetts known for its rural character and proximity to the Berkshire Mountains.
-
D.
Morrisburg
Morrisburg is a small community in eastern Ontario, Canada, located along the St. Lawrence River and known for its historical sites and riverside setting.
-
E.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc614ad1908190a77808fcf7f3e531 |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabb87c3481908cf11f2e246f42eb |
completed | April 3, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69cfacc9b53081909bd3505cff0a7722 |
completed | April 3, 2026, 12:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad6fff348190b0491ba38d2e6ce5 |
completed | April 3, 2026, 12:07 p.m. |
Created at: March 30, 2026, 6:52 p.m.