Triple
T18107889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glocknerkees |
E433393
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object | Glocknerkees |
—
|
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: Glocknerkees | Statement: [Glocknerkees, hasGermanName, Glocknerkees]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glocknerkees Context triple: [Glocknerkees, hasGermanName, Glocknerkees]
-
A.
Glocknerkees
chosen
Glocknerkees is a glacier in the Austrian Alps located on the flanks of the Großglockner, Austria’s highest mountain.
-
B.
Katzenbuckel
Katzenbuckel is an extinct volcanic hill in southwestern Germany known as the highest elevation in the Odenwald range.
-
C.
Berghaupten
Berghaupten is a small municipality in the Ortenau district of Baden-Württemberg in southwestern Germany, known for its scenic location in the Black Forest region.
-
D.
Kofel
Kofel is a distinctive, steep limestone peak overlooking the town of Oberammergau in the Ammergau Alps of Bavaria, Germany, popular with hikers and climbers.
-
E.
Rotgipfler
Rotgipfler is a rare, high-quality white grape variety from Austria’s Thermenregion, known for producing rich, aromatic wines often blended with Zierfandler.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddbb3d408190b5fc7870bc6512f4 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 10, 2026, 10:28 a.m.