Triple

T17229727
Position Surface form Disambiguated ID Type / Status
Subject Danderyd Municipality E418208 entity
Predicate containsSettlement P847 FINISHED
Object Djursholm E122856 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: Djursholm | Statement: [Danderyd Municipality, containsSettlement, Djursholm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Djursholm
Context triple: [Danderyd Municipality, containsSettlement, Djursholm]
  • A. Djursholm chosen
    Djursholm is an affluent suburban district of Stockholm, Sweden, known for its villas, garden-city planning, and status as one of the country’s wealthiest residential areas.
  • B. Botkyrka
    Botkyrka is a municipality in Stockholm County, Sweden, historically associated with the veneration of Saint Botvid and known for its cultural diversity and suburban communities.
  • C. Strömholm
    Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
  • D. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • E. Rosengård
    Rosengård is a prominent Swedish football club based in Malmö, known for its successful women's team and history of developing world-class players.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42df62ec48190b2ed633a5bcc0255 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170ef3110819097ac1346ae33ef94 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.