Triple
T24754283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Rosa Alps |
E619236
|
entity |
| Predicate | highestMassifAmong |
P157832
|
FINISHED |
| Object | highest massifs in Europe |
—
|
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: highest massifs in Europe | Statement: [Monte Rosa Alps, highestMassifAmong, highest massifs in Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestMassifAmong Context triple: [Monte Rosa Alps, highestMassifAmong, highest massifs in Europe]
-
A.
hasMassif
Indicates that something possesses or is associated with a specific massif, typically a large, distinct section of a mountain range.
-
B.
prominenceOfHighestPeak_m
Indicates the vertical prominence, in meters, of the highest peak relative to the lowest contour line encircling it and no higher summit.
-
C.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
D.
moreProminentSummit
Indicates that one summit is higher, more notable, or more significant than another in terms of prominence.
-
E.
isOneOfHighestPeaksIn
Indicates that an entity is among the tallest or most elevated peaks within a specified group, region, or category.
- F. None of above. chosen
Provenance (4 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_69e2fabb349881908a13a212a0221a63 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 18, 2026, 4:25 a.m.