Triple
T17820157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wiesbachhorn |
E444959
|
entity |
| Predicate | rankByHeightInAustria |
P129025
|
FINISHED |
| Object | among highest peaks over 3500 m |
—
|
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: among highest peaks over 3500 m | Statement: [Wiesbachhorn, rankByHeightInAustria, among highest peaks over 3500 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByHeightInAustria Context triple: [Wiesbachhorn, rankByHeightInAustria, among highest peaks over 3500 m]
-
A.
chartPositionAustria
Indicates the position or ranking that something holds on a music or sales chart specifically in Austria.
-
B.
rankingByLengthInAlps
Indicates an ordering of entities based on their relative lengths specifically within the context of the Alps.
-
C.
isLargestCityRankInAustria
Indicates that a city holds a specific rank in terms of population size among all cities in Austria.
-
D.
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).
-
E.
rankAmongWorldsHighestMountains
Indicates that the subject mountain is among the tallest mountains in the world in terms of elevation.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e489101aa48190a1439d8cb683bba9 |
completed | April 19, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:15 a.m.