Triple

T21320738
Position Surface form Disambiguated ID Type / Status
Subject Sveavägen E525605 entity
Predicate nearbyStation P4625 FINISHED
Object Odenplan station 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: Odenplan station | Statement: [Sveavägen, nearbyStation, Odenplan station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odenplan station
Context triple: [Sveavägen, nearbyStation, Odenplan station]
  • A. Odenplan metro station
    Odenplan metro station is a major Stockholm Metro stop located in the central district of Norrmalm, serving as an important hub for public transportation in the city.
  • B. Blackeberg metro station
    Blackeberg metro station is a Stockholm Metro station on the Green line serving the Blackeberg district in western Stockholm, Sweden.
  • C. Stockholm Odenplan Station chosen
    Stockholm Odenplan Station is a major underground transit hub in central Stockholm that serves as a key interchange for commuter rail, metro, and bus services.
  • D. Kristineberg metro station
    Kristineberg metro station is a Stockholm Metro station on the green line, serving the Kristineberg district on Kungsholmen island in Sweden.
  • E. Majorstuen station
    Majorstuen station is a key interchange on the Oslo Metro where multiple lines converge, serving as a major transit hub in the western part of the city.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed0a2788190b6a71c8c720173dc completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:39 p.m.