Triple
T11347516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bear Mountain |
E268756
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Snow Summit |
E257292
|
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: Snow Summit | Statement: [Bear Mountain, near, Snow Summit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snow Summit Context triple: [Bear Mountain, near, Snow Summit]
-
A.
Snow Summit
chosen
Snow Summit is a popular Southern California ski and snowboard resort located in the Big Bear Lake area of the San Bernardino Mountains.
-
B.
Snow Summit ski area
Snow Summit ski area is a popular Southern California mountain resort known for its winter skiing and snowboarding terrain as well as year-round outdoor recreation.
-
C.
Snow Valley Peak
Snow Valley Peak is a prominent mountain summit in the Carson Range of the Sierra Nevada, known for its high elevation and expansive views over western Nevada and Lake Tahoe.
-
D.
Skylight Mountain
Skylight Mountain is a prominent peak in the Adirondack High Peaks region of New York, popular with hikers for its challenging trails and scenic wilderness surroundings.
-
E.
Summit
Summit is a high-performance supercomputer at Oak Ridge National Laboratory that was once the world’s fastest, designed for large-scale scientific and artificial intelligence research.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea214bb88190bb66f7fd3ef73081 |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5438d7b58819093cc1407fefe8ab5 |
completed | April 19, 2026, 9:05 p.m. |
Created at: April 8, 2026, 9:33 p.m.