Triple
T8981759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Fee |
E214546
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mount Callaghan |
E480258
|
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 Callaghan | Statement: [Mount Fee, near, Mount Callaghan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Callaghan Context triple: [Mount Fee, near, Mount Callaghan]
-
A.
Mount Callaghan
chosen
Mount Callaghan is a volcanic peak in southwestern British Columbia, Canada, that forms part of the Garibaldi Volcanic Belt within the Coast Mountains.
-
B.
Mount Belford
Mount Belford is a prominent Colorado fourteener in the Rocky Mountains, popular with hikers for its challenging ascent and sweeping alpine views.
-
C.
Mount Irvine
Mount Irvine is a high Sierra Nevada summit in California, notable as one of the state's fourteen-thousand-foot peaks popular with experienced climbers and mountaineers.
-
D.
Mount Ainslie
Mount Ainslie is a prominent hill in Canberra, Australia, known for its popular lookout offering panoramic views over the city and its surrounding landscape.
-
E.
Mount Murchison
Mount Murchison is a prominent peak in New Zealand’s Southern Alps, known for its alpine scenery and challenging mountaineering routes.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a76f748190a4abad5d53d58fa8 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0b3ce0c81908a7b4297e0867cc9 |
completed | April 3, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:03 p.m.