Triple

T21200502
Position Surface form Disambiguated ID Type / Status
Subject Finnish State Railways E522441 entity
Predicate nativeName P15 FINISHED
Object Valtionrautatiet 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: Valtionrautatiet | Statement: [Finnish State Railways, nativeName, Valtionrautatiet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valtionrautatiet
Context triple: [Finnish State Railways, nativeName, Valtionrautatiet]
  • A. Valtionrautatiet chosen
    Valtionrautatiet was the former name of Finland’s state-owned railway company, now known as VR Group, which operates the country’s passenger and freight rail services.
  • B. Ratia
    Ratia is a town and municipal council in the Fatehabad district of the Indian state of Haryana.
  • C. Pyhäranta
    Pyhäranta is a small coastal municipality in western Finland known for its rural landscapes and proximity to the Baltic Sea.
  • D. Rautalampi
    Rautalampi is a rural municipality in central Finland known for its lakes, forests, and traditional Finnish countryside landscapes.
  • E. Rauma Line
    The Rauma Line is a scenic Norwegian railway route renowned for its dramatic mountain, river, and valley landscapes between Dombås and Åndalsnes.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73430c5a08190aeb6a62eec0f43a3 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:18 p.m.