Triple

T1510213
Position Surface form Disambiguated ID Type / Status
Subject Uppsala University E30374 entity
Predicate hasCampus P116 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: [Uppsala University, hasCampus, Visby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visby
Context triple: [Uppsala University, hasCampus, 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. 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. Port of Visby
    The Port of Visby is the main commercial and passenger harbor of Visby on the Swedish island of Gotland, serving as a key hub for Baltic Sea ferry traffic and tourism.
  • D. Gothenburg
    Gothenburg is Sweden’s second-largest city, a major port on the country’s west coast known for its maritime heritage, universities, and vibrant cultural scene.
  • E. Gävle
    Gävle is a coastal city in eastern Sweden known as an important regional port, industrial center, and the home of the famous Gävle Christmas Goat.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907d4edd48190a03c85e1a0cc02b1 completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeabea0d88190b0bd83aece8c7b55 completed March 8, 2026, 9:31 p.m.
Created at: March 4, 2026, 7:26 p.m.