Triple
T20183927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pfäffikon ZH |
E492803
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Seegräben |
—
|
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: Seegräben | Statement: [Pfäffikon ZH, neighboringMunicipality, Seegräben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seegräben Context triple: [Pfäffikon ZH, neighboringMunicipality, Seegräben]
-
A.
Seegräben
chosen
Seegräben is a small municipality in the canton of Zurich in Switzerland, known for its rural character and scenic lakeside setting on the Pfäffikersee.
-
B.
Mühlengraben
Mühlengraben is a small watercourse in the town of Gifhorn in Lower Saxony, Germany, likely serving as a mill stream or side channel of a larger river.
-
C.
Bärengraben
Bärengraben is a historic bear pit and popular tourist attraction in Bern, Switzerland, where live bears—symbols of the city—have been kept for centuries.
-
D.
Rohrbachgraben
Rohrbachgraben is a small rural municipality in the Oberaargau region of the canton of Bern in Switzerland.
-
E.
Kreuzlinger Forstgraben
Kreuzlinger Forstgraben is a small watercourse in Bavaria that serves as one of the tributary streams feeding into Lake Starnberg.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f068748190a0941e98ef5afd59 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.