Triple
T4136589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake County, Colorado |
E85169
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mount Massive |
E101168
|
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 Massive | Statement: [Lake County, Colorado, contains, Mount Massive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Massive Context triple: [Lake County, Colorado, contains, Mount Massive]
-
A.
Mount Massive
chosen
Mount Massive is one of the highest peaks in the Rocky Mountains of Colorado, known for its broad, multi-summit ridgeline and status as a prominent “fourteener.”
-
B.
Sharp Mountain
Sharp Mountain is a prominent natural peak in northern Georgia known for its scenic views and forested slopes within the Appalachian foothills.
-
C.
Blue Mountain Peak
Blue Mountain Peak is the tallest mountain in Jamaica, renowned for its misty vistas, coffee-growing slopes, and challenging hiking trails.
-
D.
Mount Wister
Mount Wister is a prominent mountain peak in Wyoming’s Teton Range, known for its rugged terrain and challenging climbing routes.
-
E.
Mount Curwood
Mount Curwood is a prominent peak in Michigan’s remote Huron Mountains, known as one of the state’s highest natural elevations.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02345c2c819090a9db6b375a7fc7 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3a763c5081909cfb4b209207c859 |
completed | March 22, 2026, 12:40 a.m. |
Created at: March 9, 2026, 3:43 p.m.