Triple
T20029513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Baden |
E495082
|
entity |
| Predicate | hasCulturalRegion |
P1968
|
FINISHED |
| Object | Odenwald (parts) |
—
|
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: Odenwald (parts) | Statement: [North Baden, hasCulturalRegion, Odenwald (parts)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odenwald (parts) Context triple: [North Baden, hasCulturalRegion, Odenwald (parts)]
-
A.
Odenwald
chosen
Odenwald is a low mountain range in southwestern Germany known for its forested hills, historic towns, and scenic hiking landscapes.
-
B.
Odenwaldkreis
Odenwaldkreis is a rural district in the state of Hesse, Germany, known for its forested low mountain landscapes and small historic towns.
-
C.
Waldbrunn (Westerwald)
Waldbrunn (Westerwald) is a municipality in the Westerwald region of Hesse, Germany, known for its rural character and location within the Limburg-Weilburg district.
-
D.
Westerwald
Westerwald is a low mountain range in western Germany known for its forested landscapes, traditional villages, and ceramic and mining heritage.
-
E.
Waldesch
Waldesch is a small municipality in western Germany’s Rhineland-Palatinate region, situated near the Rhine and Moselle rivers.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662908df081909a6c8ccf0dd90fff |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:36 p.m.