Triple
T20401337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainier Brewing Company |
E500338
|
entity |
| Predicate | brand |
P1500
|
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: [Rainier Brewing Company, brand, Rainier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rainier Context triple: [Rainier Brewing Company, brand, 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 Cushman
Mount Cushman is a small mountain in Thornton, New Hampshire, known as the town’s highest natural elevation point within the White Mountains region.
-
E.
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.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6798e7a588190b60bd54260e540f4 |
completed | April 20, 2026, 7:07 p.m. |
Created at: April 16, 2026, 11:29 a.m.