Triple
T6897094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teton Range |
E159396
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Static Peak |
E330245
|
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: Static Peak | Statement: [Teton Range, contains, Static Peak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Static Peak Context triple: [Teton Range, contains, Static Peak]
-
A.
Static Peak
chosen
Static Peak is a prominent mountain summit in Wyoming’s Teton Range, known for its rugged alpine terrain and popular climbing routes.
-
B.
Light Peak
Light Peak was the original codename for what became Thunderbolt, a high-speed hardware interface developed by Intel in collaboration with Apple for connecting peripherals to computers.
-
C.
HIGH PEAK
HIGH PEAK is a local government district in Derbyshire, England, known for its upland landscapes within the Peak District National Park.
-
D.
Peak 10
Peak 10 is an expert-focused mountain area at Breckenridge known for its steep, challenging terrain and advanced ski runs.
-
E.
Peak 7
Peak 7 is a popular intermediate-focused mountain area at Breckenridge Ski Resort in Colorado, known for its groomed blue runs and easy access via the BreckConnect Gondola.
- 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_69c748e5182c81908ed01d1091933d09 |
completed | March 28, 2026, 3:20 a.m. |
Created at: March 27, 2026, 2:24 p.m.