Triple
T6629218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential Range |
E149878
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mount Webster |
E540268
|
NE FINISHED |
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: [Presidential Range, contains, Mount Webster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Webster Context triple: [Presidential Range, contains, 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.
Windham Mountain
Windham Mountain is a popular ski resort and year-round outdoor recreation area located in the northern Catskill Mountains of New York.
-
C.
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.
-
D.
Mount Blue
Mount Blue is a prominent forested peak in western Maine known for its hiking trails, scenic views, and location within Mount Blue State Park.
-
E.
Mount Yale
Mount Yale is a prominent fourteener in central Colorado, popular with hikers for its challenging trails and expansive alpine views.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa4a08481908cb5a554f388f32a |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f78f667c81908c2de74009c8e073 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 1:59 p.m.