Triple
T959571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alaska Range |
E20703
|
entity |
| Predicate | highestPeak |
P1674
|
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: [Alaska Range, highestPeak, Denali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denali Context triple: [Alaska Range, highestPeak, 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 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.
-
D.
Mount Bachelor
Mount Bachelor is a prominent volcanic peak in central Oregon known for its large ski resort and extensive winter recreation opportunities.
-
E.
Mount Washington
Mount Washington is a prominent peak in the White Mountains of New Hampshire, renowned for its extreme weather conditions and historic observatory at the summit.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b412f9f48190be123e8c20f38962 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac599117d48190b329ec50b9a632fc |
completed | March 7, 2026, 5 p.m. |
Created at: March 1, 2026, 7:40 p.m.