Triple

T22878219
Position Surface form Disambiguated ID Type / Status
Subject Old Town Bridge and Bakklandet view E567385 entity
Predicate near P350 FINISHED
Object Gamle Bybro 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: Gamle Bybro | Statement: [Old Town Bridge and Bakklandet view, near, Gamle Bybro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gamle Bybro
Context triple: [Old Town Bridge and Bakklandet view, near, Gamle Bybro]
  • A. Gamle Bybro chosen
    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.
  • B. 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.
  • C. Moa Gammel
    Moa Gammel is a Swedish actress and producer known for her work in film, television, and radio drama.
  • D. Middelalderbyen
    Middelalderbyen is a historic district in Oslo that encompasses the remains and reconstructions of the city’s medieval core, including archaeological sites and preserved ruins.
  • E. Thyborøn
    Thyborøn is a coastal fishing town and tourist destination in western Jutland, Denmark, known for its harbor, North Sea beaches, and World War II coastal fortifications.
  • 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5a26f4819086ede6d85a2ab2bf completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.