Triple

T9841569
Position Surface form Disambiguated ID Type / Status
Subject Dalane district E239237 entity
Predicate hasPart P35 FINISHED
Object Lund municipality E833328 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: [Dalane district, hasPart, Lund municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lund municipality
Context triple: [Dalane district, hasPart, Lund municipality]
  • A. Lund
    Lund is a common Scandinavian surname of Swedish origin.
  • B. Lund
    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. Lund
    Lund is a district of the Norwegian city of Kristiansand, known for its residential areas, educational institutions, and proximity to the city center.
  • D. Lund chosen
    Lund is a small municipality in Rogaland county in southwestern Norway, known for its rural landscapes and proximity to lakes and mountains.
  • E. 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.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34c920c81909b56ed9936b15f9b completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d269b54d04819096ddc9f16a6db17b completed April 5, 2026, 1:55 p.m.
Created at: March 30, 2026, 8:33 p.m.