Triple
T8581740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Onny |
E203197
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Ludlow |
E82172
|
NE FINISHED |
How this triple was built (2 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: Ludlow | Statement: [River Onny, flowsNear, Ludlow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ludlow Context triple: [River Onny, flowsNear, Ludlow]
-
A.
Ludlow
Ludlow is a small town in Windsor County, Vermont, best known as the home of the Okemo Mountain ski resort and a popular year-round outdoor recreation destination.
-
B.
Ludlow
chosen
Ludlow is a historic market town in Shropshire, England, renowned for its well-preserved medieval architecture, Norman castle, and vibrant food culture.
-
C.
Castleton
Castleton is a picturesque village in England’s Peak District, known for its surrounding hills, show caves, and historic Peveril Castle.
-
D.
Castleton
Castleton is a suburban district and former industrial village within the Metropolitan Borough of Rochdale in Greater Manchester, England.
-
E.
Castleton
Castleton is a small village in North Yorkshire, England, situated within the scenic North York Moors National Park.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1bbbd8819082670286a711826d |
completed | March 31, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea89550f481908a7ed45303b71731 |
completed | April 2, 2026, 5:34 p.m. |
Created at: March 30, 2026, 6:22 p.m.