Triple
T17319626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newburgh Bay |
E420520
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Mount Beacon |
—
|
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 Beacon | Statement: [Newburgh Bay, hasViewOf, Mount Beacon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Beacon Context triple: [Newburgh Bay, hasViewOf, Mount Beacon]
-
A.
Mount Beacon
chosen
Mount Beacon is a prominent peak in New York’s Hudson Highlands, known for its hiking trails, scenic views of the Hudson River Valley, and historic inclined railway.
-
B.
Dam Mountain
Dam Mountain is a popular hiking peak in the North Shore Mountains of British Columbia, known for its accessible trails and scenic views near Vancouver.
-
C.
Mount Trorey
Mount Trorey is a mountain peak in British Columbia, Canada, located within the Fitzsimmons Range of the Coast Mountains and popular with backcountry skiers and mountaineers.
-
D.
Mount Yale
Mount Yale is a prominent fourteener in central Colorado, popular with hikers for its challenging trails and expansive alpine views.
-
E.
Mount Harvard
Mount Harvard is one of Colorado's highest fourteeners, a prominent peak in the Rocky Mountains popular with climbers and hikers.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439a066b481908e8aee1885809eba |
completed | April 19, 2026, 2:10 a.m. |
Created at: April 10, 2026, 5:43 a.m.