Triple

T19298902
Position Surface form Disambiguated ID Type / Status
Subject Hjorthagen E482640 entity
Predicate servedBy P82 FINISHED
Object Ropsten metro station NE NERFINISHED

How this triple was built (3 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: Ropsten metro station | Statement: [Hjorthagen, servedBy, Ropsten metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ropsten metro station
Context triple: [Hjorthagen, servedBy, Ropsten metro station]
  • A. Rinkeby metro station
    Rinkeby metro station is an underground station on Stockholm’s metro system serving the Rinkeby district in the northwest of 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. 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.
  • D. Karlaplan metro station
    Karlaplan metro station is an underground Stockholm Metro station on the red line, serving the Karlaplan square area in the Östermalm district of central Stockholm.
  • E. Kista metro station
    Kista metro station is an underground station on Stockholm’s metro system serving the Kista district, a major hub for technology and business.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ropsten metro station
Target entity description: Ropsten metro station is a Stockholm metro station on the red line that serves the northeastern district of Hjorthagen and connects to the Lidingöbanan light rail.
  • A. Rinkeby metro station
    Rinkeby metro station is an underground station on Stockholm’s metro system serving the Rinkeby district in the northwest of 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. 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.
  • D. Karlaplan metro station
    Karlaplan metro station is an underground Stockholm Metro station on the red line, serving the Karlaplan square area in the Östermalm district of central Stockholm.
  • E. Kista metro station
    Kista metro station is an underground station on Stockholm’s metro system serving the Kista district, a major hub for technology and business.
  • F. None of above. chosen

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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc8852208190ba0337a9623d9bdf completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.