Triple
T23301295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reginherus |
E590309
|
entity |
| Predicate | isRelatedNameForm |
P3889
|
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: [Reginherus, isRelatedNameForm, Rainier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rainier Context triple: [Reginherus, isRelatedNameForm, Rainier]
-
A.
Rainier
chosen
Rainier is a masculine given name most famously borne by Rainier III, the longtime Prince of Monaco.
-
B.
Mount Rainier
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.
Rainier Mesa
Rainier Mesa is a plateau within the Nevada Test Site that was a major location for underground nuclear weapons testing by the United States during the Cold War.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d37fd08190ad2d199c54324c02 |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:04 p.m.