Triple
T21880592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Willard |
E540267
|
entity |
| Predicate | isSouthOf |
P9676
|
FINISHED |
| Object | Mount Webster |
—
|
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 Webster | Statement: [Mount Willard, isSouthOf, Mount Webster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Webster Context triple: [Mount Willard, isSouthOf, Mount Webster]
-
A.
Mount Webster
chosen
Mount Webster is a prominent peak in New Hampshire’s White Mountains, known for its steep cliffs, scenic hiking trails, and views over Crawford Notch.
-
B.
Mount Morris
Mount Morris is a small unincorporated community and town in central Wisconsin known for its rural landscape and outdoor recreation opportunities.
-
C.
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.
-
D.
Windham Mountain
Windham Mountain is a popular ski resort and year-round outdoor recreation area located in the northern Catskill Mountains of New York.
-
E.
Mount Lafayette
Mount Lafayette is a prominent 5,249-foot summit in New Hampshire’s Franconia Range, popular with hikers for its alpine views and challenging trails.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118e600c08190bc96203f03f1e58a |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 16, 2026, 7:04 p.m.