Triple
T16382193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susitna Valley |
E397832
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Denali |
E14856
|
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: Denali | Statement: [Susitna Valley, hasViewOf, Denali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denali Context triple: [Susitna Valley, hasViewOf, Denali]
-
A.
Denali
chosen
Denali is the tallest mountain in North America, a prominent peak in the Alaska Range known for its extreme elevation and challenging climbing conditions.
-
B.
Denali
Denali is GMC’s premium luxury trim line, known for adding upscale features, refined styling, and advanced technology to its vehicles.
-
C.
Mount Foraker
Mount Foraker is one of the highest and most prominent peaks in Alaska, located near Denali in the central Alaska Range.
-
D.
Mount Wrangell
Mount Wrangell is a massive active shield volcano in eastern Alaska, known as one of the largest and most voluminous volcanoes in the United States.
-
E.
Denali massif
Denali massif is the towering central mountain complex in the Alaska Range dominated by Denali, North America’s highest peak, and surrounded by extensive glaciers and rugged alpine terrain.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319dd0e0c8190812bde6a2f7d9644 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c55bba481909bca6cc17e1dfcf5 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:08 a.m.