Triple
T22383631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siebengebirge |
E553337
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Ölberg |
—
|
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: Ölberg | Statement: [Siebengebirge, highestPoint, Ölberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ölberg Context triple: [Siebengebirge, highestPoint, Ölberg]
-
A.
Ölberg
chosen
Ölberg is the highest and one of the most prominent hills in Germany’s Siebengebirge range, known for its scenic views over the Rhine Valley.
-
B.
Reitberg
Reitberg is a locality or settlement that forms part of the municipality of Eugendorf in the Austrian state of Salzburg.
-
C.
Eichberg
Eichberg is a municipality in the Swiss canton of St. Gallen, situated in the Rhine Valley region near the border with Austria.
-
D.
Schiedlberg
Schiedlberg is a small municipality in the Austrian state of Upper Austria, situated in the Linz-Land District.
-
E.
Todtnau
Todtnau is a small town in Germany’s Black Forest region, known for its mountainous scenery, outdoor recreation, and proximity to the Feldberg peak.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582d8e548190a7330de49d519675 |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.