Triple

T15501063
Position Surface form Disambiguated ID Type / Status
Subject Tantolunden E378953 entity
Predicate locatedOn P40 FINISHED
Object Södermalm island E1160632 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: Södermalm island | Statement: [Tantolunden, locatedOn, Södermalm island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Södermalm island
Context triple: [Tantolunden, locatedOn, Södermalm island]
  • A. Södermalm island chosen
    Södermalm island is a central Stockholm district and island known for its vibrant urban culture, historic architecture, and extensive parks and waterfronts.
  • B. Skeppsholmen
    Skeppsholmen is a small central Stockholm island known for its historic naval heritage, museums, and scenic waterfront views.
  • 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. Stadsholmen
    Stadsholmen is the central island in Stockholm’s historic Gamla stan (Old Town), known for its medieval street layout and well-preserved architecture.
  • E. Storholmen
    Storholmen is an island located in Lake Femunden, one of Norway’s largest inland lakes.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcb4e8c81908e4ab463e3ae252b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4a9bf88190b7c6b4874abe165f completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:54 a.m.