Triple

T15041225
Position Surface form Disambiguated ID Type / Status
Subject Gröna Lund E378603 entity
Predicate hasRide P30385 FINISHED
Object Jetline (former) E1132966 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: Jetline (former) | Statement: [Gröna Lund, hasRide, Jetline (former)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jetline (former)
Context triple: [Gröna Lund, hasRide, Jetline (former)]
  • A. Jetline chosen
    Jetline is a steel roller coaster located at the Gröna Lund amusement park in Stockholm, Sweden, known for its compact, twisting layout.
  • B. Radwell
    Radwell is a small rural village located within the North Hertfordshire district of England.
  • C. Beeline
    Beeline is a command-line client for Apache Hive that allows users to connect to HiveServer2 and execute SQL queries against Hive data warehouses.
  • D. Robious Landing Park
    Robious Landing Park is a riverside recreational area in Midlothian, Virginia, known for its trails, boat access, and scenic natural setting along the James River.
  • E. The Jet
    The Jet was the nickname of Joe Perry, a Hall of Fame NFL fullback renowned for his speed and success with the San Francisco 49ers in the 1950s.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82e79a481908ddb9609af8c4407 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5b75c04819085996a7f88ab6c38 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3 a.m.