Triple
T21016185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasseramt region |
E517681
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Kriegstetten |
—
|
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: Kriegstetten | Statement: [Wasseramt region, containsMunicipality, Kriegstetten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kriegstetten Context triple: [Wasseramt region, containsMunicipality, Kriegstetten]
-
A.
Kriegstetten
chosen
Kriegstetten is a small municipality in the canton of Solothurn in Switzerland, situated in the Swiss Plateau region.
-
B.
Frohnleiten
Frohnleiten is a small Austrian town in the state of Styria, known for its picturesque setting along the Mur River and its historic town center.
-
C.
Heretsried
Heretsried is a small municipality in the Swabian region of Bavaria, Germany, situated within the rural surroundings of the Augsburg district.
-
D.
Althüttendorf
Althüttendorf is a small rural municipality in the Barnim district of Brandenburg in northeastern Germany.
-
E.
Burglengenfeld
Burglengenfeld is a historic town in the Upper Palatinate region of Bavaria, Germany, known for its medieval castle and picturesque setting along the Naab River.
- 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc58272881908a61eda7755ed332 |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:54 p.m.