Triple
T18322700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Shkhara |
E438923
|
entity |
| Predicate | rankingByElevationInCaucasus |
P87950
|
FINISHED |
| Object | third highest peak |
—
|
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 peak | Statement: [Mount Shkhara, rankingByElevationInCaucasus, third highest peak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingByElevationInCaucasus Context triple: [Mount Shkhara, rankingByElevationInCaucasus, third highest peak]
-
A.
prominenceOfHighestPeak_m
Indicates the vertical prominence, in meters, of the highest peak relative to the lowest contour line encircling it and no higher summit.
-
B.
regionRankByHeight
chosen
Indicates the relative ordering of regions based on their height or elevation.
-
C.
rankAmongWorldsHighestMountains
Indicates that the subject mountain is among the tallest mountains in the world in terms of elevation.
-
D.
elevationOfHighestPeak_ft
Indicates the height, in feet, of the tallest peak associated with the given entity.
-
E.
countryRankByHeight
Indicates the relative position of a country when countries are ordered by the height of something (e.g., average elevation, tallest point, or average citizen height).
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa886508190902ffc26b30731ae |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.