Triple

T9421383
Position Surface form Disambiguated ID Type / Status
Subject Aker E227158 entity
Predicate namedAfter P63 FINISHED
Object Old farm Aker (Aker gård) E723212 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: Old farm Aker (Aker gård) | Statement: [Aker, namedAfter, Old farm Aker (Aker gård)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old farm Aker (Aker gård)
Context triple: [Aker, namedAfter, Old farm Aker (Aker gård)]
  • A. old Ullensaker farm
    The old Ullensaker farm is a historic agricultural estate in Ullensaker, Norway, that gave its name to the surrounding municipality.
  • B. Haugen farm
    Haugen farm is the Norwegian site where the historic Tune Viking ship was unearthed.
  • C. Akkerhaugen
    Akkerhaugen is a small village in Telemark, Norway, known for its scenic lakeside setting and role as a local hub for tourism and agriculture.
  • D. Gamle Aker chosen
    Gamle Aker is a historic district in Oslo, Norway, known for its medieval church and significant cultural heritage sites.
  • E. Ådalsbruk
    Ådalsbruk is a small village in Løten Municipality in Innlandet county, Norway, best known as the birthplace of painter Edvard Munch.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c2651c48190808281779fab49df completed April 1, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107c95c9481909957b99cacf5e045 completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:48 p.m.