Triple

T18597361
Position Surface form Disambiguated ID Type / Status
Subject Aarhus Letbane E454525 entity
Predicate fareSystem P395 FINISHED
Object Midttrafik 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: Midttrafik | Statement: [Aarhus Letbane, fareSystem, Midttrafik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midttrafik
Context triple: [Aarhus Letbane, fareSystem, Midttrafik]
  • A. Midttrafik chosen
    Midttrafik is the regional public transport authority responsible for coordinating and operating buses, light rail, and related services in Denmark’s Central Jutland region.
  • B. Traficom
    Traficom is Finland’s national authority responsible for regulating and overseeing transport and communications services, infrastructure, and safety.
  • C. Traffik
    Traffik is a 1989 British television miniseries that explores the international heroin trade and inspired the later American film "Traffic."
  • D. Traffik
    Traffik is a 2018 American thriller film in which Paula Patton stars as a woman whose romantic getaway turns deadly after she and her boyfriend encounter a violent biker gang involved in human trafficking.
  • E. Sporveien
    Sporveien is the municipally owned public transport company in Oslo that operates key parts of the city's metro, tram, and bus infrastructure.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5474ce0c08190b440cbe86b6ef7b9 completed April 19, 2026, 9:21 p.m.
Created at: April 10, 2026, 11:44 a.m.