Triple

T2150389
Position Surface form Disambiguated ID Type / Status
Subject Sokndal E47165 entity
Predicate borders P224 FINISHED
Object Lund municipality E222857 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: Lund municipality | Statement: [Sokndal, borders, Lund municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lund municipality
Context triple: [Sokndal, borders, Lund municipality]
  • A. Lund
    Lund is a common Scandinavian surname of Swedish origin.
  • B. Lund chosen
    Lund is a historic city in southern Sweden known for its medieval cathedral, prestigious university, and role as a significant cultural and academic center in Scandinavia.
  • C. Lidingö Municipality
    Lidingö Municipality is a suburban island municipality in eastern Sweden, forming part of the Stockholm urban area and known for its affluent residential character and natural surroundings.
  • D. Sigtuna Municipality
    Sigtuna Municipality is a local government area in east-central Sweden known for encompassing the historic town of Sigtuna, one of the country’s oldest urban settlements.
  • E. Ekerö Municipality
    Ekerö Municipality is a suburban island municipality in eastern Sweden known for its natural landscapes and historic sites, located just west of central Stockholm.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe45dbf481909c0da056a1a99ece completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6533d4b88190ac722cd1ebfa3d8f completed March 10, 2026, 12:26 a.m.
Created at: March 4, 2026, 7:44 p.m.