Triple
T12419699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Ashop |
E296733
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Snake Pass |
E467213
|
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: Snake Pass | Statement: [River Ashop, near, Snake Pass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snake Pass Context triple: [River Ashop, near, Snake Pass]
-
A.
Snake Pass
chosen
Snake Pass is a high-altitude, winding road through the Peak District in northern England, known for its scenic views and challenging driving conditions.
-
B.
Tailfin Pass
Tailfin Pass is a scenic mountain road and viewpoint in the Cars universe, known for its dramatic rock formations and sweeping vistas near Radiator Springs.
-
C.
The Snake's Pass
The Snake's Pass is an 1890 adventure novel by Bram Stoker, set in rural Ireland and blending romance, folklore, and mystery around a legendary buried treasure.
-
D.
Elk’s Burn
Elk’s Burn is a small tributary stream that feeds into the River Coquet in Northumberland, England.
-
E.
Breakheart Pass
Breakheart Pass is a 1974 thriller novel by Alistair MacLean that blends mystery and Western elements aboard a snowbound train in 19th-century America.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6efd748190a5d9396a343e41e1 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634933b9881909fd592ede7c3e49c |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.