Triple
T21034639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Habichtswald |
E518157
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Hoher Dörnberg |
—
|
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: Hoher Dörnberg | Statement: [Habichtswald, contains, Hoher Dörnberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoher Dörnberg Context triple: [Habichtswald, contains, Hoher Dörnberg]
-
A.
Dörnberg
chosen
Dörnberg is a prominent hill and nature area in the Habichtswald range in Hesse, Germany, known for its distinctive basalt formations and scenic hiking trails.
-
B.
Häg-Ehrsberg
Häg-Ehrsberg is a small rural municipality in the Black Forest region of southwestern Germany, known for its forested landscapes and traditional village character.
-
C.
Bergener Höhen
Bergener Höhen is the German name for Bergen Heights, a neighborhood area in Jersey City, New Jersey.
-
D.
Bärenkopf
Bärenkopf is a mountain peak in the Austrian Alps that forms part of the Glockner Group.
-
E.
Festungsberg
Festungsberg is a prominent hill in Salzburg, Austria, best known as the site of the medieval Hohensalzburg Fortress overlooking the city.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc858d808190a8489aac801a4f51 |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 2:01 p.m.