Triple

T15040637
Position Surface form Disambiguated ID Type / Status
Subject Hornstull E378589 entity
Predicate transport P230 FINISHED
Object Hornstull metro station E383459 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: Hornstull metro station | Statement: [Hornstull, transport, Hornstull metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hornstull metro station
Context triple: [Hornstull, transport, Hornstull metro station]
  • A. Hornstull metro station chosen
    Hornstull metro station is an underground Stockholm Metro station on the red line, serving the Hornstull district on the island of Södermalm.
  • B. Storo metro station
    Storo metro station is a station on the Oslo Metro system in Norway, serving the Storo neighborhood as a key interchange and access point for local transit.
  • C. Norsborg metro station
    Norsborg metro station is the southwestern terminus of Stockholm's Red Line, serving the Norsborg district in Botkyrka Municipality.
  • 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. 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.
  • 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_69febfd954548190b3f7c60d95403f3e completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3 a.m.