Triple

T15782761
Position Surface form Disambiguated ID Type / Status
Subject Blue line (Stockholm metro) E382659 entity
Predicate hasStation P35 FINISHED
Object Akalla metro station E1176879 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: Akalla metro station | Statement: [Blue line (Stockholm metro), hasStation, Akalla metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akalla metro station
Context triple: [Blue line (Stockholm metro), hasStation, Akalla metro station]
  • A. Akalla metro station chosen
    Akalla metro station is a Stockholm Metro station in the Akalla district that serves as the northern terminus of the system’s Blue Line.
  • B. Hallunda metro station
    Hallunda metro station is a Stockholm Metro station on the red line serving the Hallunda district in Botkyrka Municipality, southwest of central Stockholm.
  • C. Tapiola metro station
    Tapiola metro station is an underground station on the Helsinki Metro system serving the Tapiola district in Espoo, Finland.
  • D. Blackeberg metro station
    Blackeberg metro station is a Stockholm Metro station on the Green line serving the Blackeberg district in western Stockholm, Sweden.
  • E. Alvik metro station
    Alvik metro station is a key public transit station in Stockholm, Sweden, serving as an interchange between the metro, tram, and bus networks.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05400716881909bc43212c8ea54d5 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9987140c8190a50da103905a7930 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.