Triple
T22634968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garibaldi region |
E558654
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mount Fee |
—
|
NE NERFINISHED |
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 Fee | Statement: [Garibaldi region, contains, Mount Fee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Fee Context triple: [Garibaldi region, contains, Mount Fee]
-
A.
Mount Fee
chosen
Mount Fee is a prominent volcanic peak in British Columbia’s Coast Mountains, known for its rugged, glaciated summit and striking profile visible from the Sea-to-Sky corridor.
-
B.
Mount Hight
Mount Hight is a prominent peak in New Hampshire’s White Mountains, known for its open summit and expansive views within the Presidential Range–Dry River Wilderness.
-
C.
Mount Dawson
Mount Dawson is a prominent, glaciated mountain massif in the Selkirk Mountains of British Columbia, Canada, known for its dramatic relief and challenging alpine climbing routes.
-
D.
The Mount
The Mount is the commonly used nickname for Mount St. Mary's University, a Catholic liberal arts institution located near Emmitsburg, Maryland.
-
E.
The Mount
The Mount is the English name for Surah At-Tur, a chapter of the Qur’an that emphasizes God’s power, the reality of resurrection, and the fate of believers and disbelievers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700d492081909bab8d9dbb1faef2 |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:03 p.m.