Triple

T12494901
Position Surface form Disambiguated ID Type / Status
Subject Kråkerøy E298657 entity
Predicate connectedTo P37 FINISHED
Object Fredrikstad city centre E53030 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: Fredrikstad city centre | Statement: [Kråkerøy, connectedTo, Fredrikstad city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fredrikstad city centre
Context triple: [Kråkerøy, connectedTo, Fredrikstad city centre]
  • A. Fredrikstad chosen
    Fredrikstad is a coastal city in southeastern Norway known for its well-preserved fortified old town and role as a regional educational and commercial center.
  • B. Fredrikstad Cathedral
    Fredrikstad Cathedral is a prominent 19th-century Neo-Gothic church and landmark in the Norwegian city of Fredrikstad.
  • C. Fredrikstad Museum
    Fredrikstad Museum is a local history and cultural museum in Fredrikstad, Norway, showcasing the region’s historical heritage, art, and maritime past.
  • D. Fredrikstad Fortress
    Fredrikstad Fortress is a well-preserved 17th-century star-shaped fortress and historic fortified town in Fredrikstad, Norway, known as one of Scandinavia’s best-maintained Renaissance military fortifications.
  • E. Tøyen Torg
    Tøyen Torg is a central square and commercial hub in Oslo’s Tøyen neighborhood, known for its shops, cafés, and multicultural urban atmosphere.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de4089c8190917a45365e641437 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64badad488190ae1c6c2883a88a4b completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.