Triple
T17493560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weschnitz |
E425989
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Odenwald |
—
|
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 | Statement: [Weschnitz, region, Odenwald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odenwald Context triple: [Weschnitz, region, Odenwald]
-
A.
Odenwald
chosen
Odenwald is a low mountain range in southwestern Germany known for its forested hills, historic towns, and scenic hiking landscapes.
-
B.
Westerwald
Westerwald is a low mountain range in western Germany known for its forested landscapes, traditional villages, and ceramic and mining heritage.
-
C.
Hunsrück
Hunsrück is a low mountain range in western Germany known for its forested hills, rural landscapes, and traditional villages between the Moselle, Rhine, and Nahe rivers.
-
D.
Düsseltal
Düsseltal is a residential district of Düsseldorf, Germany, known for its leafy streets, affluent character, and mix of historic and modern urban development.
-
E.
Hochtaunus
Hochtaunus is a highland area in the central Taunus Mountains of Hesse, Germany, known for its forested hills, scenic landscapes, and popular hiking and recreation opportunities.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d782688190afb76fa080867315 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.