Triple

T15040388
Position Surface form Disambiguated ID Type / Status
Subject Söderort E378584 entity
Predicate hasPart P35 FINISHED
Object Skarpnäck E1134017 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: Skarpnäck | Statement: [Söderort, hasPart, Skarpnäck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skarpnäck
Context triple: [Söderort, hasPart, Skarpnäck]
  • A. Skarpnäck chosen
    Skarpnäck is a residential district in southern Stockholm, Sweden, known for its postwar housing areas and as the terminus of the green line on the Stockholm metro.
  • B. Skarpäng
    Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
  • C. Mariaberget
    Mariaberget is a historic, picturesque area on the western side of Södermalm in central Stockholm, known for its well-preserved old buildings and panoramic views over the city and Lake Mälaren.
  • D. Malmberget
    Malmberget is a major iron ore mining town in northern Sweden known for its extensive underground operations and associated subsidence issues.
  • E. Gustavsberg
    Gustavsberg is a locality in Sweden best known for its historic porcelain factory and role as a suburban community in the Stockholm archipelago.
  • 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_69feae0be8bc81909e1f9ed31bfd76fb completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3 a.m.