Triple
T20168561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Großvenediger |
E491892
|
entity |
| Predicate | rankAmongHighestInAustria |
P129025
|
FINISHED |
| Object | fourth-highest peak in Austria (commonly cited) |
—
|
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: fourth-highest peak in Austria (commonly cited) | Statement: [Großvenediger, rankAmongHighestInAustria, fourth-highest peak in Austria (commonly cited)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankAmongHighestInAustria Context triple: [Großvenediger, rankAmongHighestInAustria, fourth-highest peak in Austria (commonly cited)]
-
A.
rankByHeightInAustria
chosen
Indicates that entities are ordered or compared according to their height specifically within the context of Austria.
-
B.
chartPositionAustria
Indicates the position or ranking that something holds on a music or sales chart specifically in Austria.
-
C.
isLargestCityRankInAustria
Indicates that a city holds a specific rank in terms of population size among all cities in Austria.
-
D.
chartPositionAustrianSinglesChart
Indicates the position an item reached on the Austrian singles music chart.
-
E.
resultForAustria
Indicates that a particular outcome, performance, or result is specifically associated with Austria.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66845cb588190820c50eea0c40d83 |
completed | April 20, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:35 p.m.