Triple
T14157396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ufenau |
E350847
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Pfäffikon SZ |
E539110
|
NE FINISHED |
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: Pfäffikon SZ | Statement: [Ufenau, locatedNear, Pfäffikon SZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pfäffikon SZ Context triple: [Ufenau, locatedNear, Pfäffikon SZ]
-
A.
Pfäffikon SZ
chosen
Pfäffikon SZ is a town in the Swiss canton of Schwyz on the shores of Lake Zurich, known as a regional economic center and tax-favorable residential area.
-
B.
Pfäffikon ZH
Pfäffikon ZH is a municipality and regional center in the canton of Zürich in Switzerland, known for its lakeside location on the Pfäffikersee and its mix of residential and light industrial areas.
-
C.
Opfikon
Opfikon is a municipality in the canton of Zürich in Switzerland, known for its proximity to Zurich Airport and its role as a residential and commercial suburb of the city of Zürich.
-
D.
Pfäfflingen
Pfäfflingen is a small village and district of the town Nördlingen in the Donau-Ries district of Bavaria, Germany.
-
E.
Rüschlikon
Rüschlikon is a wealthy lakeside municipality on the western shore of Lake Zurich in the canton of Zurich, Switzerland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61377de48190a3470d28f0edd34a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5dc9b908190b1d7583810dc9c41 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 12:58 a.m.