Triple
T17493542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weschnitz |
E425989
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Odenwald region |
—
|
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 region | Statement: [Weschnitz, locatedIn, Odenwald region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odenwald region Context triple: [Weschnitz, locatedIn, Odenwald region]
-
A.
Rheingau-Taunus area
The Rheingau-Taunus area is a region in the German state of Hesse known for its scenic landscapes, wine-growing along the Rhine, and the forested Taunus hills.
-
B.
Wetterau region
The Wetterau region is a fertile, historically significant area in central Hesse, Germany, known for its agriculture and dense concentration of medieval towns and castles.
-
C.
Westerwald
Westerwald is a low mountain range in western Germany known for its forested landscapes, traditional villages, and ceramic and mining heritage.
-
D.
Hesse region
Hesse region is a federal state in central-western Germany known for its financial hub Frankfurt am Main, forested landscapes, and historic cities such as Wiesbaden and Kassel.
-
E.
Odenwald
chosen
Odenwald is a low mountain range in southwestern Germany known for its forested hills, historic towns, and scenic hiking landscapes.
- 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.