Triple
T22530284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roth district |
E557013
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Greding |
—
|
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: Greding | Statement: [Roth district, hasMunicipality, Greding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greding Context triple: [Roth district, hasMunicipality, Greding]
-
A.
Greding
chosen
Greding is a historic town in Bavaria, Germany, known for its well-preserved medieval city walls and location within the Altmühl Valley Nature Park.
-
B.
Nesselried
Nesselried is a village and district of the municipality of Appenweier in the Ortenau region of Baden-Württemberg, Germany.
-
C.
Geretsried
Geretsried is a town in Upper Bavaria, Germany, situated on the Isar River and known as the largest town in the Bad Tölz-Wolfratshausen district.
-
D.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
-
E.
Gilching
Gilching is a Bavarian municipality near Munich known for its residential character, local industry, and proximity to the Ammersee and Lake Starnberg recreation areas.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed6734881908abbbee477dfab98 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.