Triple

T15040444
Position Surface form Disambiguated ID Type / Status
Subject Västerbron E378585 entity
Predicate connects P390 FINISHED
Object Kungsholmen E78688 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: Kungsholmen | Statement: [Västerbron, connects, Kungsholmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kungsholmen
Context triple: [Västerbron, connects, Kungsholmen]
  • A. Kungsholmen chosen
    Kungsholmen is a central island and district of Stockholm known for its waterfront promenades, residential areas, and the iconic Stockholm City Hall.
  • B. Skeppsholmen
    Skeppsholmen is a small central Stockholm island known for its historic naval heritage, museums, and scenic waterfront views.
  • C. Östermalm
    Östermalm is an affluent central district of Stockholm known for its upscale residential areas, embassies, and high-end shopping and dining.
  • D. Lindholmen
    Lindholmen is a small locality in Vallentuna Municipality in Stockholm County, Sweden, known for its residential character and proximity to natural and historical sites.
  • E. Lindholmen
    Lindholmen is a waterfront district in Gothenburg, Sweden, known as a major hub for education, research, and technology companies.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82e79a481908ddb9609af8c4407 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5b75c04819085996a7f88ab6c38 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3 a.m.