Triple
T6897095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teton Range |
E159396
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Buck Mountain |
E396390
|
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: Buck Mountain | Statement: [Teton Range, contains, Buck Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buck Mountain Context triple: [Teton Range, contains, Buck Mountain]
-
A.
Buck Mountain
chosen
Buck Mountain is a prominent, rugged summit in Wyoming’s Teton Range, popular with experienced climbers and backcountry enthusiasts.
-
B.
Bennett Mountain
Bennett Mountain is a prominent peak in Sonoma County, California, known for its scenic hiking trails, vineyards, and views over the Sonoma Valley.
-
C.
Back Mountain
Back Mountain is a scenic area of China's Huangshan (Yellow Mountain) range, known for its dramatic granite peaks, ancient pine trees, and popular hiking routes.
-
D.
Greenhorn Mountain
Greenhorn Mountain is a prominent peak in southern Colorado’s Wet Mountains range, known for its high elevation and expansive views over the surrounding landscape.
-
E.
Garret Mountain
Garret Mountain is a prominent ridge and park area in northern New Jersey known for its scenic overlooks, woodlands, and historic sites.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d95c44a48190876d62749411bbb6 |
completed | March 27, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c98bd7f4dc8190975352b1eb790cae |
completed | March 29, 2026, 8:30 p.m. |
Created at: March 27, 2026, 2:24 p.m.