Triple
T17844666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterman Mountain |
E445626
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Mount Waterman |
—
|
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: Mount Waterman | Statement: [Waterman Mountain, alsoKnownAs, Mount Waterman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Waterman Context triple: [Waterman Mountain, alsoKnownAs, Mount Waterman]
-
A.
Mount Waterman
chosen
Mount Waterman is a popular mountain and ski area in the San Gabriel Mountains of Southern California, known for its scenic hiking trails and winter sports.
-
B.
Mount Bates
Mount Bates is the tallest peak on Norfolk Island, a small Australian territory in the South Pacific Ocean.
-
C.
Mount Willey
Mount Willey is a prominent peak in New Hampshire’s White Mountains, known for its steep trails, scenic views, and location within Crawford Notch State Park.
-
D.
Mount Bailey
Mount Bailey is a stratovolcano in the Cascade Range of southern Oregon, known for its prominent cone shape and recreational opportunities like hiking and skiing.
-
E.
Mount Morris
Mount Morris is a small city in Genesee County, Michigan, located near Flint and known as a residential community with local schools, parks, and small businesses.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ff980048190b496c55b83b3b318 |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:16 a.m.