Triple

T6978539
Position Surface form Disambiguated ID Type / Status
Subject Kalmar E161776 entity
Predicate locatedNorthOf P305 FINISHED
Object Karlskrona E321383 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: Karlskrona | Statement: [Kalmar, locatedNorthOf, Karlskrona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karlskrona
Context triple: [Kalmar, locatedNorthOf, Karlskrona]
  • A. Karlskrona chosen
    Karlskrona is a historic Swedish coastal city and naval base known for its well-preserved maritime architecture and UNESCO-listed naval port.
  • B. Kalmar
    Kalmar is a historic coastal city in southeastern Sweden known for its medieval castle, role in the Kalmar Union, and connection to the island of Öland.
  • C. Visby
    Visby is a well-preserved medieval Hanseatic town on the Swedish island of Gotland, renowned for its historic city wall and UNESCO World Heritage status.
  • D. Halmstad
    Halmstad is a coastal city in southwestern Sweden known for its historic town center, harbor, and role as a strategic site in Scandinavian conflicts.
  • E. Sundsvall
    Sundsvall is a coastal city in central Sweden known as an important industrial and commercial center on the Gulf of Bothnia.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db68d25c8190a1776908619ad979 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8b9a0e881909ee8f92ecb6fef66 completed March 28, 2026, 11:17 a.m.
Created at: March 27, 2026, 2:31 p.m.