Triple

T22402034
Position Surface form Disambiguated ID Type / Status
Subject Varberg E553783 entity
Predicate hasHarbor P3007 FINISHED
Object Varberg Harbor NE NERFINISHED

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: Varberg Harbor | Statement: [Varberg, hasHarbor, Varberg Harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varberg Harbor
Context triple: [Varberg, hasHarbor, Varberg Harbor]
  • A. Varberg harbour chosen
    Varberg harbour is a coastal port area in the Swedish town of Varberg on the Kattegat, known for its maritime activities and proximity to the historic Varberg Fortress.
  • B. Nynäshamn harbour
    Nynäshamn harbour is a major Swedish port on the Baltic Sea, serving passenger ferries, cruise ships, and cargo traffic south of Stockholm.
  • C. Svaneke Harbor
    Svaneke Harbor is a small, picturesque coastal harbor in the town of Svaneke on the Danish island of Bornholm, known for its historic charm and maritime atmosphere.
  • D. Huskvarna harbor
    Huskvarna harbor is a small marina and waterfront area in Huskvarna, Sweden, serving as a recreational and boating hub on the southern end of Lake Vättern.
  • E. Borgholm harbor
    Borgholm harbor is a small coastal port and marina serving the town of Borgholm on the Swedish island of Öland, known for leisure boating and tourism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b4a96c8190838f5dda21c4d853 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.