Triple
T4301919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paisley Canal Line |
E99856
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Crookston
Crookston is a suburban area in the south-west of Glasgow, Scotland, known for its residential character and proximity to Crookston Castle.
|
E428712
|
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: Crookston | Statement: [Paisley Canal Line, hasStation, Crookston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crookston Context triple: [Paisley Canal Line, hasStation, Crookston]
-
A.
Aitkin
Aitkin is a variant spelling of the surname Aitken, which is of Scottish origin.
-
B.
Brainerd
Brainerd is a small city in central Minnesota, United States, known as a regional hub for outdoor recreation in the lakes area.
-
C.
Hibbing
Hibbing is a city in northern Minnesota known for its rich iron mining history and as the hometown of musician Bob Dylan.
-
D.
Richfield
Richfield is a historic gold rush town in British Columbia that emerged as an important center during the Cariboo Gold Rush of the 1860s.
-
E.
Fargo
Fargo is a 1996 darkly comedic crime film by the Coen brothers, acclaimed for its distinctive blend of Midwestern noir, quirky characters, and sharp, offbeat dialogue.
- 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: Crookston Triple: [Paisley Canal Line, hasStation, Crookston]
Generated description
Crookston is a suburban area in the south-west of Glasgow, Scotland, known for its residential character and proximity to Crookston Castle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crookston Target entity description: Crookston is a suburban area in the south-west of Glasgow, Scotland, known for its residential character and proximity to Crookston Castle.
-
A.
Aitkin
Aitkin is a variant spelling of the surname Aitken, which is of Scottish origin.
-
B.
Brainerd
Brainerd is a small city in central Minnesota, United States, known as a regional hub for outdoor recreation in the lakes area.
-
C.
Hibbing
Hibbing is a city in northern Minnesota known for its rich iron mining history and as the hometown of musician Bob Dylan.
-
D.
Richfield
Richfield is a historic gold rush town in British Columbia that emerged as an important center during the Cariboo Gold Rush of the 1860s.
-
E.
Fargo
Fargo is a 1996 darkly comedic crime film by the Coen brothers, acclaimed for its distinctive blend of Midwestern noir, quirky characters, and sharp, offbeat dialogue.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350b66450819089c9ff6ff9f045e5 |
completed | March 12, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c74d59688190820cef42c4228a3a |
completed | March 14, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_69b5c7bd187c8190b79894c864ea5b19 |
completed | March 14, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5c88035dc8190beacf43974a29c78 |
completed | March 14, 2026, 8:43 p.m. |
Created at: March 12, 2026, 11:08 p.m.