Triple
T21832788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basel S-Bahn |
E539039
|
entity |
| Predicate | hasTerminus |
P388
|
FINISHED |
| Object | Zell im Wiesental |
—
|
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: Zell im Wiesental | Statement: [Basel S-Bahn, hasTerminus, Zell im Wiesental]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zell im Wiesental Context triple: [Basel S-Bahn, hasTerminus, Zell im Wiesental]
-
A.
Zell im Wiesental
chosen
Zell im Wiesental is a small town in the Black Forest region of southwestern Germany, known as the birthplace of Constanze Mozart, the wife of composer Wolfgang Amadeus Mozart.
-
B.
Dinkelscherben
Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
-
C.
Bad Waldliesborn
Bad Waldliesborn is a spa village in the German region of Westphalia, known for its therapeutic mineral springs and health tourism.
-
D.
Lorchhausen
Lorchhausen is a small district of the town of Lorch in the Rheingau region of Hesse, Germany, known for its winegrowing and scenic location along the Rhine River.
-
E.
Steinwiesen
Steinwiesen is a small municipality in northern Bavaria, Germany, known for its location in the Franconian Forest and its traditional rural character.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a4d2d0819088ded045caeab52d |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.