Triple
T10988171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitzingen (district) |
E259684
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Wiesentheid |
E606294
|
NE FINISHED |
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: Wiesentheid | Statement: [Kitzingen (district), hasMunicipality, Wiesentheid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiesentheid Context triple: [Kitzingen (district), hasMunicipality, Wiesentheid]
-
A.
Wiesentheid
chosen
Wiesentheid is a market town in northern Bavaria, Germany, known for its Baroque architecture and location within the Franconian wine-growing region.
-
B.
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.
-
C.
Dettelbach
Dettelbach is a small historic town in the Franconian wine-growing region of northern Bavaria, Germany, known for its medieval architecture and surrounding vineyards.
-
D.
Viechtach
Viechtach is a small town in the Bavarian Forest region of southeastern Germany, known for its scenic landscapes and outdoor recreation.
-
E.
Schönbuch
Schönbuch is a large forest and nature reserve in the German state of Baden-Württemberg, known for its extensive woodlands, wildlife, and recreational hiking areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b574d08190adec34b814a26437 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d548b4481909dc73f834c704d44 |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:24 p.m.