Triple
T20413648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opfikon |
E500649
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Wallisellen |
—
|
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: Wallisellen | Statement: [Opfikon, borders, Wallisellen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wallisellen Context triple: [Opfikon, borders, Wallisellen]
-
A.
Wallisellen
chosen
Wallisellen is a municipality in the canton of Zürich, Switzerland, known as a residential and commercial suburb on the outskirts of the city of Zürich.
-
B.
Wallis
Wallis is a given name and surname used in English-speaking countries, often considered a variant of Wallace.
-
C.
Wallas
Wallas is a surname most notably associated with Graham Wallas, the British social psychologist and political scientist known for his work on democratic theory and the psychology of thought.
-
D.
Nichalson
Nichalson is a surname variant of Nicolson, typically of Scottish or English origin and derived from the patronymic "son of Nicholas."
-
E.
Haseldine
Haseldine is the middle name of William Haseldine Pepys, an English scientist and instrument maker active in the late 18th and early 19th centuries.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a4281048190a2b016ec16b7d203 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:30 a.m.