Triple
T34648204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of the Bavarian Forest |
E889761
|
entity |
| Predicate | isMostProminentMountainOf |
P124275
|
FINISHED |
| Object | Bavarian Forest |
—
|
NE NERFINISHED |
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: Bavarian Forest | Statement: [King of the Bavarian Forest, isMostProminentMountainOf, Bavarian Forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMostProminentMountainOf Context triple: [King of the Bavarian Forest, isMostProminentMountainOf, Bavarian Forest]
-
A.
isMostFamousPeakOf
Indicates that one peak is recognized as the most famous or well-known peak associated with a particular geographic area, range, or entity.
-
B.
isMostTopographicallyProminentIn
chosen
Indicates that an entity has the greatest topographic prominence within a specified area or group, exceeding that of all comparable entities.
-
C.
nearHighestPeakOf
Indicates that one entity is located close to the highest peak of another referenced geographic or topographic feature.
-
D.
islandPeakOf
Indicates that one entity is the highest or most prominent peak located on a particular island.
-
E.
containsHighestPointOf
Indicates that one entity includes within its boundaries the location of the highest point of another entity.
- 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_69f349d825c88190bfc6170ac9281260 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72297b0348190b370585ac3c059c6 |
completed | May 3, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:04 a.m.