Triple

T15782766
Position Surface form Disambiguated ID Type / Status
Subject Blue line (Stockholm metro) E382659 entity
Predicate hasStation P35 FINISHED
Object Rissne metro station E599569 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: Rissne metro station | Statement: [Blue line (Stockholm metro), hasStation, Rissne metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rissne metro station
Context triple: [Blue line (Stockholm metro), hasStation, Rissne metro station]
  • A. Rissne metro station chosen
    Rissne metro station is a Stockholm metro station on the blue line, serving the Rissne district in Sundbyberg, Sweden.
  • B. Shoush Metro Station
    Shoush Metro Station is a stop on Tehran’s Metro system serving passengers along Line 1 in the Shoush neighborhood.
  • C. Tensta metro station
    Tensta metro station is an underground station on Stockholm's metro system serving the Tensta district in the northwestern part of the city.
  • D. Natolin metro station
    Natolin metro station is an underground station on Line M1 of the Warsaw Metro serving the Natolin residential district in southern Warsaw.
  • E. Karkarduma metro station
    Karkarduma metro station is an interchange station in East Delhi that connects the Delhi Metro’s Pink Line with the Blue Line, serving as a key transit point for commuters in the area.
  • 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_69ffa937f2a881908849fcded786905f completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:48 a.m.