Triple
T20183929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pfäffikon ZH |
E492803
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Russikon |
—
|
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: Russikon | Statement: [Pfäffikon ZH, neighboringMunicipality, Russikon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Russikon Context triple: [Pfäffikon ZH, neighboringMunicipality, Russikon]
-
A.
Russikon
chosen
Russikon is a municipality in the canton of Zurich in Switzerland, known for its rural character and proximity to the city of Zurich.
-
B.
Рось
Рось — це річка в Україні, права притока Дніпра, що протікає переважно територією Київської та Черкаської областей.
-
C.
Rechitsa
Rechitsa is a historic town in southeastern Belarus, situated on the Dnieper River and known as one of the country’s oldest settlements.
-
D.
Kuban
Kuban is a Turkish surname most notably borne by the prominent architectural historian and scholar Doğan Kuban.
-
E.
Tulskaya
Tulskaya is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Tulskaya Square area in southern Moscow.
- 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.