Triple
T19472921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schaan-Vaduz railway station |
E487169
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Schaan |
—
|
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: Schaan | Statement: [Schaan-Vaduz railway station, locatedIn, Schaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schaan Context triple: [Schaan-Vaduz railway station, locatedIn, Schaan]
-
A.
Schaan
chosen
Schaan is a major municipality in Liechtenstein known as its principal urban and industrial center.
-
B.
Ruggell
Ruggell is a northern Liechtenstein municipality known for its flat Rhine valley landscape and agricultural character.
-
C.
Dudelange
Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French border.
-
D.
Differdange
Differdange is a town in southwestern Luxembourg known as an industrial center with a strong steelmaking heritage.
-
E.
Schafhausen
Schafhausen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633ea604c8190a2feacb709b7ca27 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.