Triple
T13635346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Zürich Area |
E325833
|
entity |
| Predicate | includesMunicipality |
P14658
|
FINISHED |
| Object | Opfikon |
E500649
|
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: Opfikon | Statement: [Greater Zürich Area, includesMunicipality, Opfikon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opfikon Context triple: [Greater Zürich Area, includesMunicipality, Opfikon]
-
A.
Opfikon
chosen
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.
-
B.
Rüschlikon
Rüschlikon is a wealthy lakeside municipality on the western shore of Lake Zurich in the canton of Zurich, Switzerland.
-
C.
Hinwil
Hinwil is a municipality and regional center in the Swiss canton of Zürich, known for its rural surroundings and as the home base of the Sauber Formula One team.
-
D.
Kloten
Kloten is a town in the canton of Zurich in northern Switzerland, best known as the home of Zurich Airport.
-
E.
Pfäffikon SZ
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.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a616dc81908b8c1213e1d4beed |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27f43bf081908dea65dc05f7c1a2 |
completed | May 8, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:51 p.m.