Triple
T17472037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kloten |
E425440
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object | Bassersdorf |
—
|
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: Bassersdorf | Statement: [Kloten, hasNeighbouringMunicipality, Bassersdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bassersdorf Context triple: [Kloten, hasNeighbouringMunicipality, Bassersdorf]
-
A.
Bassersdorf
chosen
Bassersdorf is a municipality in the canton of Zurich in northern Switzerland, situated in the Glatt Valley near Zurich Airport.
-
B.
Kiliansdorf
Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
-
C.
Maffersdorf
Maffersdorf is a former village in the Liberec region of what is now the Czech Republic, historically part of Bohemia and known as the birthplace of automotive engineer Ferdinand Porsche.
-
D.
Ebreichsdorf
Ebreichsdorf is a small town in Lower Austria known for its equestrian facilities and proximity to Vienna.
-
E.
Gneixendorf
Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451b8a51081908d94bebe2417e3d3 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.