Triple

T10450650
Position Surface form Disambiguated ID Type / Status
Subject Akershus county E246411 entity
Predicate hadSubregions P747 FINISHED
Object Romerike E421025 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: Romerike | Statement: [Akershus county, hadSubregions, Romerike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romerike
Context triple: [Akershus county, hadSubregions, Romerike]
  • A. Romerike chosen
    Romerike is a traditional district in southeastern Norway, northeast of Oslo, known for its mix of agricultural landscapes, growing suburbs, and key transport links including Oslo Airport Gardermoen.
  • B. Horahane Roma
    Horahane Roma are a subgroup of Roma people traditionally associated with Islam and found primarily in regions influenced by the former Ottoman Empire.
  • C. Rommen
    Rommen is a neighborhood in Oslo, Norway, situated within the Søndre Nordstrand borough.
  • D. Trasmondo
    Trasmondo is an Italian given name historically associated with the noble Conti di Segni family.
  • E. Rajsko
    Rajsko is a village in southern Poland located in the administrative district of Gmina Oświęcim in Lesser Poland Voivodeship.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5190da7f081908c38b5964a567e37 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc43e53081909e14cfe295d17cb2 completed April 10, 2026, 11:17 a.m.
Created at: April 6, 2026, 12:17 p.m.