Triple

T14754276
Position Surface form Disambiguated ID Type / Status
Subject Baltic Sea trade routes E346688 entity
Predicate hasImportantPort P6498 FINISHED
Object Visby E152807 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: Visby | Statement: [Baltic Sea trade routes, hasImportantPort, Visby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visby
Context triple: [Baltic Sea trade routes, hasImportantPort, Visby]
  • A. Visby chosen
    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.
  • B. Karlskrona
    Karlskrona is a historic Swedish coastal city and naval base known for its well-preserved maritime architecture and UNESCO-listed naval port.
  • C. 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.
  • D. Halmstad
    Halmstad is a village in Moss municipality in Viken county, southeastern Norway.
  • E. Kristianstad
    Kristianstad is a historic city in southern Sweden known for its well-preserved Renaissance architecture and proximity to the wetlands of the Kristianstad Vattenrike Biosphere Reserve.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d59df08190a86da5048358bd6e completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9c725881908004368772fa528d completed May 8, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:30 a.m.