Triple
T18108288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Spittal an der Drau |
E433404
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Großkirchheim |
—
|
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: Großkirchheim | Statement: [district of Spittal an der Drau, containsMunicipality, Großkirchheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Großkirchheim Context triple: [district of Spittal an der Drau, containsMunicipality, Großkirchheim]
-
A.
Großkirchheim
chosen
Großkirchheim is a small Austrian municipality in the state of Carinthia, situated in the High Tauern mountain region.
-
B.
Böheimkirchen
Böheimkirchen is a market town in Lower Austria known for its rural character and proximity to the state capital, St. Pölten.
-
C.
Schweitenkirchen
Schweitenkirchen is a municipality in Bavaria, Germany, situated in the district of Pfaffenhofen an der Ilm.
-
D.
Pfarrkirchen
Pfarrkirchen is a small Bavarian town in southeastern Germany known as the administrative center of the Rottal-Inn district.
-
E.
Weißkirchen
Weißkirchen is a district of the town Oberursel in the Taunus region of Hesse, Germany, characterized by its suburban residential setting near Frankfurt.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddbbfae88190aa77f498dbb9edcb |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 10, 2026, 10:28 a.m.