Triple

T22963754
Position Surface form Disambiguated ID Type / Status
Subject Stabæk Support E570977 entity
Predicate region P40 FINISHED
Object Akershus 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: Akershus | Statement: [Stabæk Support, region, Akershus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akershus
Context triple: [Stabæk Support, region, Akershus]
  • A. Akershus chosen
    Akershus is a historical county in southeastern Norway that encompassed areas around the capital Oslo and played a key role in the region’s administrative and military history.
  • B. Akershus Fortress
    Akershus Fortress is a historic medieval castle and former royal residence that has served as a key military stronghold and national symbol in Norway’s capital.
  • C. Karljohansvern
    Karljohansvern is a historic former naval base and shipyard in Horten, Norway, now serving as a cultural heritage site with museums and maritime attractions.
  • D. Eidsvoll
    Eidsvoll is a historic Norwegian town best known as the site where Norway’s constitution was drafted and signed in 1814.
  • E. Royal Palace, Oslo
    The Royal Palace in Oslo is the official residence of the Norwegian monarch and a central symbol of Norway’s constitutional monarchy and national heritage.
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f66fbc8190a4a7b73d17537132 completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.