Triple
T22435904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nied |
E554621
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Schwanheim (across the Main) |
—
|
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: Schwanheim (across the Main) | Statement: [Nied, adjacentTo, Schwanheim (across the Main)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schwanheim (across the Main) Context triple: [Nied, adjacentTo, Schwanheim (across the Main)]
-
A.
Stammheim (Main)
Stammheim (Main) is a small town in the Schweinfurt district of Bavaria, Germany, situated along the river Main and known for its winegrowing tradition.
-
B.
Zeil am Main
Zeil am Main is a small historic town in northern Bavaria, Germany, known for its wine culture and location along the Main River.
-
C.
Fahr am Main
Fahr am Main is a small wine-growing village on the River Main in Bavaria, Germany, known for its vineyards and traditional Franconian culture.
-
D.
Flörsheim am Main
chosen
Flörsheim am Main is a town in the Main-Taunus district of Hesse, Germany, situated on the River Main between Frankfurt and Mainz.
-
E.
Wörth am Main
Wörth am Main is a small town in the Miltenberg district of Bavaria, Germany, situated on the River Main and known for its picturesque riverside setting.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ade60508190b0100d5c2843b920 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 16, 2026, 8:47 p.m.