Triple
T24197954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Foraker |
E599884
|
entity |
| Predicate | mountainRankInNorthAmericaByElevation |
P4579
|
FINISHED |
| Object | third-highest |
—
|
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: third-highest | Statement: [Mount Foraker, mountainRankInNorthAmericaByElevation, third-highest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountainRankInNorthAmericaByElevation Context triple: [Mount Foraker, mountainRankInNorthAmericaByElevation, third-highest]
-
A.
rankInNorthAmericaByElevation
chosen
Indicates the relative position of a place in an ordered list of locations in North America based on their elevation.
-
B.
includesHighestMountainInWesternHemisphere
Indicates that the subject entity contains within its boundaries the tallest mountain located in the Western Hemisphere.
-
C.
summitElevation
Indicates the elevation or height of a summit above a reference level, typically sea level.
-
D.
summitElevationNorth
Indicates the elevation of the summit located to the north relative to a given reference point or feature.
-
E.
summitElevationRank
Indicates the relative position of a summit in an ordered list based on its elevation compared to other summits.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:36 p.m.