Triple

T22151094
Position Surface form Disambiguated ID Type / Status
Subject Etterstad E547412 entity
Predicate adjacentTo P224 FINISHED
Object Gamlebyen E547413 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: [Etterstad, adjacentTo, Gamlebyen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gamlebyen
Context triple: [Etterstad, adjacentTo, Gamlebyen]
  • A. Gamlebyen chosen
    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)
    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. Lundby
    Lundby is a district on the island of Hisingen in Gothenburg, Sweden, known for its mix of residential areas, industry, and waterfront locations along the Göta älv river.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f37dac8190a7cecb12f4271515 completed April 28, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9704f4988190b03783c006929ad7 completed May 18, 2026, 4:35 a.m.
Created at: April 16, 2026, 8:33 p.m.