Triple
T21753965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipal council of Leonding |
E536986
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Leonding |
—
|
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: Leonding | Statement: [municipal council of Leonding, locatedIn, Leonding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leonding Context triple: [municipal council of Leonding, locatedIn, Leonding]
-
A.
Leonding
chosen
Leonding is a town in northern Austria located just southwest of Linz, known as part of the Linz metropolitan area in the state of Upper Austria.
-
B.
Weener
Weener is a small town and municipality in the Leer district of Lower Saxony in northwestern Germany, known for its historic harbor and location on the River Ems.
-
C.
Kloetinge
Kloetinge is a historic village in the Dutch province of Zeeland, known for its traditional architecture and rural character.
-
D.
Struycken
Struycken is a Dutch surname most notably borne by actor Carel Struycken, known for his distinctive tall stature and roles in film and television.
-
E.
Diepgen
Diepgen is a German surname most notably associated with Eberhard Diepgen, a long-serving former Governing Mayor of Berlin.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8c57508190b45fb974ef0ded10 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 16, 2026, 6:50 p.m.