Triple

T23475007
Position Surface form Disambiguated ID Type / Status
Subject Nannestad E570237 entity
Predicate region P40 FINISHED
Object Romerike 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: Romerike | Statement: [Nannestad, region, Romerike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romerike
Context triple: [Nannestad, region, 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 (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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a704e2a48190acb55f77a2124412 completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 6 p.m.