Triple

T19337383
Position Surface form Disambiguated ID Type / Status
Subject Mälaren Valley regional rail network E483655 entity
Predicate connectsTo P845 FINISHED
Object Kungsör region 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: Kungsör region | Statement: [Mälaren Valley regional rail network, connectsTo, Kungsör region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kungsör region
Context triple: [Mälaren Valley regional rail network, connectsTo, Kungsör region]
  • A. Botkyrka region
    The Botkyrka region is a municipality in Stockholm County, Sweden, known for its cultural diversity and historical association with the medieval saint Botvid.
  • B. Arboga region
    The Arboga region is an area in central Sweden centered around the town of Arboga, known historically as a transport and trading hub and now integrated into the Mälaren Valley’s regional rail and economic network.
  • C. Hälsingegårdar region
    The Hälsingegårdar region is a culturally significant area in Sweden known for its historic, ornately decorated farmhouses that are recognized as a UNESCO World Heritage Site.
  • D. Eskilstuna region
    The Eskilstuna region is an urban and economic area in central Sweden centered on the city of Eskilstuna, known for its industrial heritage and role within the broader Mälaren Valley.
  • E. Växjö region
    The Växjö region is an area in southern Sweden centered on the city of Växjö, historically known as a religious and cultural hub associated with early Christian missionary activity.
  • 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: Kungsör region
Target entity description: Kungsör region is an area in central Sweden that includes the town of Kungsör and its surroundings, known for its location along Lake Mälaren and its rail links to other Mälaren Valley communities.
  • A. Botkyrka region
    The Botkyrka region is a municipality in Stockholm County, Sweden, known for its cultural diversity and historical association with the medieval saint Botvid.
  • B. Arboga region
    The Arboga region is an area in central Sweden centered around the town of Arboga, known historically as a transport and trading hub and now integrated into the Mälaren Valley’s regional rail and economic network.
  • C. Hälsingegårdar region
    The Hälsingegårdar region is a culturally significant area in Sweden known for its historic, ornately decorated farmhouses that are recognized as a UNESCO World Heritage Site.
  • D. Eskilstuna region
    The Eskilstuna region is an urban and economic area in central Sweden centered on the city of Eskilstuna, known for its industrial heritage and role within the broader Mälaren Valley.
  • E. Växjö region
    The Växjö region is an area in southern Sweden centered on the city of Växjö, historically known as a religious and cultural hub associated with early Christian missionary activity.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61646e89081908c9f1d2cf557672c completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.