Triple

T12494887
Position Surface form Disambiguated ID Type / Status
Subject Gamlebyen (Old Town) E298656 entity
Predicate localName P657 FINISHED
Object Gamlebyen E298656 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: Gamlebyen | Statement: [Gamlebyen (Old Town), localName, Gamlebyen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gamlebyen
Context triple: [Gamlebyen (Old Town), localName, Gamlebyen]
  • A. Gamlebyen
    Gamlebyen is the historic Old Town area of Oslo, known as the city's medieval core with archaeological sites, ruins, and preserved heritage buildings.
  • B. Gamle Bybro
    Gamle Bybro is a historic 17th-century wooden bridge in Trondheim, Norway, famed for its distinctive red arches and views over the Nidelva River and the Bakklandet district.
  • C. Gamlebyen (Old Town) chosen
    Gamlebyen (Old Town) is the historic fortified quarter of Fredrikstad, Norway, renowned as one of the best-preserved fortified towns in Northern Europe.
  • D. Gudhjem
    Gudhjem is a picturesque coastal village on the Danish island of Bornholm, known for its steep streets, red-roofed houses, and harbor overlooking the Baltic Sea.
  • E. Rødby
    Rødby is a small town on the Danish island of Lolland, known historically as a ferry port linking Denmark and Germany across the Baltic Sea.
  • 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.