Triple

T19100794
Position Surface form Disambiguated ID Type / Status
Subject F'nor E467524 entity
Predicate partner P1136 FINISHED
Object Brekke 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: Brekke | Statement: [F'nor, partner, Brekke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brekke
Context triple: [F'nor, partner, Brekke]
  • A. Brekke chosen
    Brekke is a neighborhood in the Nordre Aker borough of Oslo, Norway.
  • B. Byrkjelo
    Byrkjelo is a small village in Vestland county, Norway, known for its scenic valley setting and as a local transport and agricultural hub between major fjord and inland areas.
  • C. Enebakk
    Enebakk is a rural municipality in Viken county, Norway, known for its forests, lakes, and proximity to the Oslo metropolitan area.
  • D. Brekstad
    Brekstad is a coastal town in central Norway that serves as an administrative and commercial center for the Fosen region.
  • E. Bjorli
    Bjorli is a Norwegian village known for its ski resort and scenic mountain surroundings in Innlandet county.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36d279081908aeb472cd740c302 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.