Triple
T19877341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glatt |
E477672
|
entity |
| Predicate | flowsFrom |
P17870
|
FINISHED |
| Object | Greifensee |
—
|
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: Greifensee | Statement: [Glatt, flowsFrom, Greifensee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greifensee Context triple: [Glatt, flowsFrom, Greifensee]
-
A.
Sursee
Sursee is a historic Swiss town in the canton of Lucerne, known for its well-preserved medieval old town and scenic setting near Lake Sempach.
-
B.
Oetwil am See
Oetwil am See is a municipality in the canton of Zurich, Switzerland, known for its scenic location near Lake Zurich and its residential, semi-rural character.
-
C.
Zugersee
Zugersee is a picturesque lake in central Switzerland, known for its scenic surroundings and proximity to the city of Zug.
-
D.
Zollikon
Zollikon is an affluent suburban municipality on the shores of Lake Zurich, known for its residential character and proximity to the city of Zurich in Switzerland.
-
E.
Greifensee (lake)
chosen
Greifensee is a small glacial lake in the Canton of Zürich in Switzerland, known for its scenic surroundings, nature reserves, and recreational activities such as boating and hiking.
- 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.