Triple
T5047908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheffield and South Yorkshire Navigation |
E113711
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Thorne
Thorne is a small market town in South Yorkshire, England, known for its historic waterways, including canals and navigable rivers.
|
E489326
|
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: Thorne | Statement: [Sheffield and South Yorkshire Navigation, passesThrough, Thorne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thorne Context triple: [Sheffield and South Yorkshire Navigation, passesThrough, Thorne]
-
A.
Thorne
Thorne is a surname most prominently associated with Kip Thorne, the Nobel Prize–winning theoretical physicist known for his work on gravitation and black holes.
-
B.
Thorney
Thorney is a village in Cambridgeshire, England, historically centered around its important medieval Benedictine abbey.
-
C.
Taffs Well
Taffs Well is a village in South Wales known for its historic thermal spring and proximity to Cardiff at the southern end of the Taff Valley.
-
D.
Thornbury
Thornbury is a historic market town in South Gloucestershire, England, known for its medieval castle and traditional high street.
-
E.
Bramber
Bramber is a historic village in West Sussex, England, known for the ruins of Bramber Castle and its picturesque rural setting.
- 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: Thorne Triple: [Sheffield and South Yorkshire Navigation, passesThrough, Thorne]
Generated description
Thorne is a small market town in South Yorkshire, England, known for its historic waterways, including canals and navigable rivers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thorne Target entity description: Thorne is a small market town in South Yorkshire, England, known for its historic waterways, including canals and navigable rivers.
-
A.
Thorne
Thorne is a surname most prominently associated with Kip Thorne, the Nobel Prize–winning theoretical physicist known for his work on gravitation and black holes.
-
B.
Thorney
Thorney is a village in Cambridgeshire, England, historically centered around its important medieval Benedictine abbey.
-
C.
Taffs Well
Taffs Well is a village in South Wales known for its historic thermal spring and proximity to Cardiff at the southern end of the Taff Valley.
-
D.
Thornbury
Thornbury is a historic market town in South Gloucestershire, England, known for its medieval castle and traditional high street.
-
E.
Bramber
Bramber is a historic village in West Sussex, England, known for the ruins of Bramber Castle and its picturesque rural setting.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7401419081909ba62b9c27f770c4 |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c9143a081909132c66eb9fc91db |
completed | March 21, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_69be9cfeb7a08190b87aef96a31a41cd |
completed | March 21, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea0cae0bc819098e8312f440ac0ba |
completed | March 21, 2026, 1:44 p.m. |
Created at: March 20, 2026, 1:37 p.m.