Triple
T8125407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Schell Peak |
E189713
|
entity |
| Predicate | stateRankByElevation |
P21163
|
FINISHED |
| Object | one of the highest peaks in Nevada |
—
|
LITERAL 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: one of the highest peaks in Nevada | Statement: [North Schell Peak, stateRankByElevation, one of the highest peaks in Nevada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateRankByElevation Context triple: [North Schell Peak, stateRankByElevation, one of the highest peaks in Nevada]
-
A.
rankInNorthAmericaByElevation
Indicates the relative position of a place in an ordered list of locations in North America based on their elevation.
-
B.
summitElevationRank
Indicates the relative position of a summit in an ordered list based on its elevation compared to other summits.
-
C.
summitElevation
Indicates the elevation or height of a summit above a reference level, typically sea level.
-
D.
stateRank
chosen
Indicates the relative position or standing of an entity within a specific state-level ordering or hierarchy.
-
E.
topographicProminenceRankInAlaska
Indicates the ranking position of a feature based on its topographic prominence relative to all other features in Alaska.
- F. None of above.
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_69ca82bb74848190afb1f18640632c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4c2e388190b86854f8b1765e61 |
completed | March 31, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69cb3696379c8190a20965e59ed8f370 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:34 p.m.