Triple
T18522721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weißkamm |
E452629
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object | Weißkugel |
—
|
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: Weißkugel | Statement: [Weißkamm, hasPeak, Weißkugel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weißkugel Context triple: [Weißkamm, hasPeak, Weißkugel]
-
A.
Weißkugel
chosen
Weißkugel is one of the highest and most prominent glaciated mountains in the Eastern Alps, located on the border between Austria and Italy.
-
B.
Holzweißig
Holzweißig is a former municipality in Saxony-Anhalt, Germany, that now forms part of the industrial town of Bitterfeld-Wolfen.
-
C.
Heunisch Weiss
Heunisch Weiss is an ancient European white grape variety historically important as a parent of many classic wine grapes, including Chardonnay and Riesling.
-
D.
Weiß
Weiß is a German surname commonly borne by individuals of German-speaking origin.
-
E.
Weißgerber
Weißgerber is a neighborhood in Vienna’s 3rd district, known for its historic architecture and the famous Hundertwasserhaus.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338f6da48190bdb374019d10db05 |
completed | April 19, 2026, 7:57 p.m. |
Created at: April 10, 2026, 11:37 a.m.