Triple
T21986639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sihltal Zürich Uetliberg Bahn |
E542976
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Zürich HB SZU |
—
|
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: Zürich HB SZU | Statement: [Sihltal Zürich Uetliberg Bahn, hasStation, Zürich HB SZU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zürich HB SZU Context triple: [Sihltal Zürich Uetliberg Bahn, hasStation, Zürich HB SZU]
-
A.
Zürich HB SZU
chosen
Zürich HB SZU is a central Zürich underground terminus station used by the Sihltal-Zürich-Uetliberg-Bahn (SZU) suburban rail services.
-
B.
Zürich Oerlikon
Zürich Oerlikon is a major district and transport hub in the north of Zurich, known for its busy railway station, business centers, and event venues.
-
C.
Zürich Giesshübel
Zürich Giesshübel is a local railway station in the city of Zurich, Switzerland, serving regional commuter traffic on the Uetliberg line.
-
D.
SP Zürich
SP Zürich is the cantonal branch of Switzerland’s Social Democratic Party operating in the Canton of Zurich.
-
E.
Zug
Zug is a small, affluent Swiss city and canton known for its low taxes, picturesque lakeside setting, and role as a hub for international businesses and cryptocurrency companies.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12709cb288190a2620e337fea364c |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:04 p.m.