Triple

T21002565
Position Surface form Disambiguated ID Type / Status
Subject Färgfält E517331 entity
Predicate location P40 FINISHED
Object Hallunda metro 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: Hallunda metro station | Statement: [Färgfält, location, Hallunda metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hallunda metro station
Context triple: [Färgfält, location, Hallunda metro station]
  • A. Hallunda metro station chosen
    Hallunda metro station is a Stockholm Metro station on the red line serving the Hallunda district in Botkyrka Municipality, southwest of central Stockholm.
  • B. Hallonbergen metro station
    Hallonbergen metro station is an underground station on Stockholm's metro system, serving the Hallonbergen district in Sundbyberg with connections primarily on the Blue Line.
  • C. Blackeberg metro station
    Blackeberg metro station is a Stockholm Metro station on the Green line serving the Blackeberg district in western Stockholm, Sweden.
  • 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. Skanstull metro station
    Skanstull metro station is a Stockholm Metro station on Södermalm that serves as a key stop on the city’s Green Line.
  • 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc38b8688190860fba1b58e1b3e6 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:52 p.m.