Triple

T13866292
Position Surface form Disambiguated ID Type / Status
Subject Mässans gata E333334 entity
Predicate near P350 FINISHED
Object Liseberg station area E331621 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: Liseberg station area | Statement: [Mässans gata, near, Liseberg station area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liseberg station area
Context triple: [Mässans gata, near, Liseberg station area]
  • A. Liseberg station chosen
    Liseberg station is a railway station in Gothenburg, Sweden, serving the Liseberg amusement park and surrounding area.
  • B. Forskningsparken station
    Forskningsparken station is a metro and tram stop in Oslo, Norway, located near the University of Oslo and several research institutions.
  • C. Liseberg amusement park
    Liseberg amusement park is a major theme park in Gothenburg, Sweden, known for its historic charm, diverse rides, and status as one of Scandinavia’s most popular tourist attractions.
  • D. Linderud station
    Linderud station is an Oslo Metro stop in the Linderud neighborhood, providing urban rail access on the city's east side.
  • E. Storo station
    Storo station is a major interchange stop in Oslo, Norway, connecting metro, tram, and bus services in the Storo/Nydalen area.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c419d481909230e8879b6dab5c completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c1039128819086cfe9f966b9f142 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.