Triple

T22151092
Position Surface form Disambiguated ID Type / Status
Subject Etterstad E547412 entity
Predicate adjacentTo P224 FINISHED
Object Helsfyr 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: Helsfyr | Statement: [Etterstad, adjacentTo, Helsfyr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helsfyr
Context triple: [Etterstad, adjacentTo, Helsfyr]
  • A. Helsfyr chosen
    Helsfyr is an urban neighborhood in Oslo, Norway, known as a key transport hub and commercial area east of the city center.
  • B. Hisingen
    Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
  • C. Halsnøy
    Halsnøy is a large island in Vestland county, Norway, known for its scenic landscapes and historical sites including the medieval Halsnøy Abbey.
  • D. Fredrikshald
    Fredrikshald is the former name of the Norwegian town now known as Halden, a historic border city near Sweden noted for its fortress and role in Norwegian-Swedish conflicts.
  • E. Skarsvåg
    Skarsvåg is a small fishing village in northern Norway often noted as one of the world’s northernmost permanently inhabited settlements.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f37dac8190a7cecb12f4271515 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.