Triple
T19335332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vogelsbergkreis |
E483606
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Wartenberg (Hesse) |
—
|
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: Wartenberg (Hesse) | Statement: [Vogelsbergkreis, containsMunicipality, Wartenberg (Hesse)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wartenberg (Hesse) Context triple: [Vogelsbergkreis, containsMunicipality, Wartenberg (Hesse)]
-
A.
Wartenberg (Hessen)
chosen
Wartenberg (Hessen) is a small municipality in the state of Hesse in central Germany.
-
B.
Wörsbach
Wörsbach is a small river in Hesse, Germany, that forms part of the local drainage system for the Idsteiner Senke basin.
-
C.
Pfaffenweiler
Pfaffenweiler is a small municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg im Breisgau and known for its winegrowing and picturesque Black Forest surroundings.
-
D.
Büttelborn
Büttelborn is a municipality in the Groß-Gerau district of Hesse, Germany, situated in the Rhine-Main region near the city of Darmstadt.
-
E.
Wiescheid
Wiescheid is a district of the town of Langenfeld in North Rhine-Westphalia, Germany, characterized by its residential areas and proximity to surrounding green spaces.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61644b80c819080f9bca086424a36 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.