Triple

T13084527
Position Surface form Disambiguated ID Type / Status
Subject Kristineberg E310295 entity
Predicate servedBy P82 FINISHED
Object Kristineberg metro station E1021081 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: Kristineberg metro station | Statement: [Kristineberg, servedBy, Kristineberg metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristineberg metro station
Context triple: [Kristineberg, servedBy, Kristineberg metro station]
  • A. Kristineberg metro station chosen
    Kristineberg metro station is a Stockholm Metro station on the green line, serving the Kristineberg district on Kungsholmen island in Sweden.
  • 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. 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.
  • D. 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.
  • E. Södermalm metro station
    Södermalm metro station is a public transit station serving Stockholm’s Södermalm district on the city’s metro network.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981361e8c819099376435aa3a7aa3 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e272629c8190926dbc9df447b6c4 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:02 p.m.