Triple
T27110858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Peak |
E686706
|
entity |
| Predicate | rangeHighPointContext |
P127587
|
FINISHED |
| Object | part of the highest massif in the Wasatch Range |
—
|
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: part of the highest massif in the Wasatch Range | Statement: [North Peak, rangeHighPointContext, part of the highest massif in the Wasatch Range]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rangeHighPointContext Context triple: [North Peak, rangeHighPointContext, part of the highest massif in the Wasatch Range]
-
A.
rangeHighPointRelation
chosen
Indicates a relationship where one value or entity represents the upper or maximum point of a specified range relative to another.
-
B.
isHighestRangeOf
Indicates that one entity represents the maximum or topmost range or interval within which another entity falls or is categorized.
-
C.
range
Indicates that a value, property, or effect extends between specified limits or over a specified interval or scope.
-
D.
highPointLocatedOn
Indicates that the highest point of one entity is situated on or atop another entity.
-
E.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
- 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f624025ea481909d00a21db223006c |
completed | May 2, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:53 a.m.