Triple

T5281325
Position Surface form Disambiguated ID Type / Status
Subject Kvarnholmen E119503 entity
Predicate near P350 FINISHED
Object Sicklaön E509463 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: Sicklaön | Statement: [Kvarnholmen, near, Sicklaön]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sicklaön
Context triple: [Kvarnholmen, near, Sicklaön]
  • A. Sicklaön chosen
    Sicklaön is an island and urban district area just east of central Stockholm, Sweden, known for its mix of residential neighborhoods, commercial centers, and waterfront landscapes.
  • B. Ekerö Island
    Ekerö Island is a Swedish island in Lake Mälaren, known for its scenic landscapes and proximity to Stockholm.
  • C. Rindö
    Rindö is an island in Sweden’s Stockholm archipelago, known for its coastal scenery and strategic location near the town of Vaxholm.
  • D. Resarö
    Resarö is an island in the Stockholm archipelago known for its residential communities, natural coastal scenery, and proximity to the city of Stockholm.
  • E. Lidingö
    Lidingö is a suburban island town in the Stockholm archipelago known for its affluent residential areas, natural landscapes, and proximity to Sweden’s capital.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84c5212481909cb3b5f43c0eedc0 completed March 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21aee16081909509f3b14b60a969 completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 1:52 p.m.