Triple

T16482064
Position Surface form Disambiguated ID Type / Status
Subject Bad Ragaz railway station E400343 entity
Predicate locatedInRegion P40 FINISHED
Object Sarganserland E475284 NE FINISHED

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: Sarganserland | Statement: [Bad Ragaz railway station, locatedInRegion, Sarganserland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarganserland
Context triple: [Bad Ragaz railway station, locatedInRegion, Sarganserland]
  • A. Sarganserland region chosen
    The Sarganserland region is an area in eastern Switzerland known for its Alpine landscapes, lakes, and traditional Swiss villages.
  • B. Sargans
    Sargans is a town in the canton of St. Gallen in northeastern Switzerland, known for its historic castle and strategic location at a major Alpine transit junction.
  • C. Svortland
    Svortland is the main village and local hub on the island municipality of Bømlo in Vestland county, Norway.
  • D. Tivland
    Tivland is the traditional homeland and cultural region of the Tiv people, primarily located in central Nigeria.
  • E. Skånland
    Skånland was a former municipality in Troms county, Norway, known for its coastal landscapes and small communities before being merged into Tjeldsund.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e03643881908b16ddb9004af5d0 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00581ebe888190a331974473f1be1a completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:13 a.m.