Triple
T9419527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avalanche Pass |
E227115
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mount Colden |
E287595
|
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: Mount Colden | Statement: [Avalanche Pass, near, Mount Colden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Colden Context triple: [Avalanche Pass, near, Mount Colden]
-
A.
Mount Colden
chosen
Mount Colden is a prominent Adirondack High Peak in New York’s Adirondack Mountains, known for its dramatic slides and challenging hiking routes.
-
B.
Mount Longdon
Mount Longdon is a strategically significant hill on East Falkland that was the site of a major night battle during the 1982 Falklands War.
-
C.
Mount Rosea
Mount Rosea is a prominent sandstone peak and popular hiking destination within Victoria, Australia’s Grampians mountain range.
-
D.
Mount Tyndall
Mount Tyndall is a prominent peak in California’s Sierra Nevada, popular with experienced hikers and climbers for its rugged terrain and alpine scenery.
-
E.
Colden Mountain
Colden Mountain is a prominent Adirondack peak in New York’s High Peaks region, popular with hikers for its challenging trails and dramatic views over Avalanche Lake and the surrounding wilderness.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c23c65081908d1009c26be66533 |
completed | April 1, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107c4d73881909ac38781fe90b1da |
completed | April 4, 2026, 12:44 p.m. |
Created at: March 30, 2026, 7:48 p.m.