Triple

T20649594
Position Surface form Disambiguated ID Type / Status
Subject Stockholm Östra station E507450 entity
Predicate fareSystem P395 FINISHED
Object SL Access 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: SL Access | Statement: [Stockholm Östra station, fareSystem, SL Access]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SL Access
Context triple: [Stockholm Östra station, fareSystem, SL Access]
  • A. SL Access chosen
    SL Access is Stockholm's public transport smart card and ticketing system used for travel on buses, trains, and other SL services.
  • B. Access
    Access is Microsoft's desktop database management system that enables users to create, manage, and analyze relational databases through a graphical interface and integrated tools.
  • C. Access
    Access is an American entertainment news television program that covers celebrity news, interviews, and Hollywood events.
  • D. Access Live
    Access Live is a daytime entertainment news and talk show that serves as a companion program to the celebrity-focused series Access Hollywood.
  • E. LET Access Series
    LET Access Series is the official developmental professional golf tour for women in Europe that serves as a feeder circuit to the Ladies European Tour.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af2076b48190b9c8afb4eac65f46 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.