Triple
T21380595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwanau |
E527341
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Wittenweier |
—
|
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: Wittenweier | Statement: [Schwanau, hasSubdivision, Wittenweier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wittenweier Context triple: [Schwanau, hasSubdivision, Wittenweier]
-
A.
Weilersbach
Weilersbach is a small municipality in the Forchheim district of Bavaria, Germany, known for its rural character and proximity to the Franconian Switzerland region.
-
B.
Appenweier
chosen
Appenweier is a municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine and the French border.
-
C.
Wieseck
Wieseck is a small river in the German state of Hesse that flows through the city of Giessen and its surrounding region.
-
D.
Kleinheubach
Kleinheubach is a small market town in Lower Franconia, Bavaria, Germany, known for its historic noble residences and riverside setting along the Main.
-
E.
Buhlbach
Buhlbach is a small locality or district within the Black Forest municipality of Baiersbronn in southwestern Germany.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cdab8c8190a7eebe6e5961ee75 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:11 p.m.