Triple
T22383630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siebengebirge |
E553337
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Himmerich |
—
|
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: Himmerich | Statement: [Siebengebirge, contains, Himmerich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Himmerich Context triple: [Siebengebirge, contains, Himmerich]
-
A.
Himmerich
chosen
Himmerich is a hill in Germany’s Siebengebirge range, known for its forested slopes and hiking trails overlooking the Rhine valley.
-
B.
Wildeshausen
Wildeshausen is a historic town in Lower Saxony, Germany, known for its medieval architecture and role as a regional administrative and cultural center.
-
C.
Heringsdorf
Heringsdorf is a seaside resort town on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its historic pier and spa architecture.
-
D.
Harpstedt
Harpstedt is a small municipality and administrative center in Lower Saxony, Germany, known for its rural character and location within the Diepholz district.
-
E.
Lübstorf
Lübstorf is a small municipality in northern Germany’s Mecklenburg-Vorpommern state, situated near Lake Schwerin and characterized by its rural setting and natural surroundings.
- 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.