Triple
T19877352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glatt |
E477672
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Niederglatt |
—
|
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: Niederglatt | Statement: [Glatt, passesThrough, Niederglatt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niederglatt Context triple: [Glatt, passesThrough, Niederglatt]
-
A.
Niederglatt
chosen
Niederglatt is a municipality in the canton of Zurich in northern Switzerland, situated in the Glatt Valley and integrated into the greater Zurich metropolitan area.
-
B.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
C.
Reichstett
Reichstett is a small commune in northeastern France, situated near Strasbourg in the Grand Est region.
-
D.
Gneixendorf
Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
-
E.
Glattfelden
Glattfelden is a municipality in the canton of Zurich in northern Switzerland, known for its scenic setting along the Glatt River and its well-preserved historic village center.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658dbdb648190b423865e7994a8fe |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:52 p.m.