Triple
T18201852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decade Volcanoes |
E435808
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Rainier |
—
|
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: Rainier | Statement: [Decade Volcanoes, hasMember, Rainier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rainier Context triple: [Decade Volcanoes, hasMember, Rainier]
-
A.
Rainier
Rainier is a masculine given name most famously borne by Rainier III, the longtime Prince of Monaco.
-
B.
Mount Rainier
chosen
Mount Rainier is a massive glaciated stratovolcano in Washington State and one of the most prominent and potentially hazardous volcanoes in the United States.
-
C.
Mount Baker
Mount Baker is an active glaciated stratovolcano in the North Cascades of Washington State, known for its heavy snowfall and prominent, snow-covered peak.
-
D.
Mount Madison
Mount Madison is one of New Hampshire’s Presidential Range peaks in the White Mountains, popular with hikers for its rugged alpine terrain and panoramic views.
-
E.
Mount Logan (Washington)
Mount Logan is a prominent glaciated peak in North Cascades National Park in Washington State, known for its rugged terrain and remote alpine setting.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d71f288190918ca78543118bbe |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:32 a.m.