Triple

T13423607
Position Surface form Disambiguated ID Type / Status
Subject Djurgården ferry E313420 entity
Predicate serves P98 FINISHED
Object Skeppsholmen E476079 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: Skeppsholmen | Statement: [Djurgården ferry, serves, Skeppsholmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skeppsholmen
Context triple: [Djurgården ferry, serves, Skeppsholmen]
  • A. Skeppsholmen chosen
    Skeppsholmen is a small central Stockholm island known for its historic naval heritage, museums, and scenic waterfront views.
  • B. Stadsholmen
    Stadsholmen is the central island in Stockholm’s historic Gamla stan (Old Town), known for its medieval street layout and well-preserved architecture.
  • C. Kungsholmen
    Kungsholmen is a central island and district of Stockholm known for its waterfront promenades, residential areas, and the iconic Stockholm City Hall.
  • D. Storholmen
    Storholmen is an island located in Lake Femunden, one of Norway’s largest inland lakes.
  • E. Kastellholmen
    Kastellholmen is a small island in central Stockholm, Sweden, known for its historic red-brick citadel and scenic waterfront views.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaecf13748190ae40c7b95164f914 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1b143388190a6bed8e21105a406 completed May 6, 2026, 8:16 p.m.
Created at: April 9, 2026, 9:39 p.m.