Triple

T1030613
Position Surface form Disambiguated ID Type / Status
Subject Gotland E22241 entity
Predicate largestCity P235 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: [Gotland, largestCity, Visby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visby
Context triple: [Gotland, largestCity, 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. 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.
  • C. 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.
  • D. Jönköping
    Jönköping is a city in southern Sweden, located at the southern end of Lake Vättern and known as a regional commercial and logistical hub.
  • E. Uppsala
    Uppsala is a historic Swedish city north of Stockholm, known for its prestigious university, medieval cathedral, and role as a cultural and ecclesiastical center.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b810429081908a97014ca740824b completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc60b052c8190bacb19f0fdc8059a completed March 8, 2026, 12:42 a.m.
Created at: March 1, 2026, 7:41 p.m.