Triple

T10450642
Position Surface form Disambiguated ID Type / Status
Subject Akershus county E246411 entity
Predicate historicalRegion P915 FINISHED
Object Akershus len E92851 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: Akershus len | Statement: [Akershus county, historicalRegion, Akershus len]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akershus len
Context triple: [Akershus county, historicalRegion, Akershus len]
  • 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. Gamle Aker
    Gamle Aker is a historic district in Oslo, Norway, known for its medieval church and significant cultural heritage sites.
  • D. 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.
  • E. Akershus Royal Banquet Hall
    Akershus Royal Banquet Hall is a medieval castle–themed character dining restaurant in EPCOT’s World Showcase, best known for its Disney Princess meals.
  • 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_69d4fe0a6a548190a54212912f618e4e completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87efedf6c8190aa4b7bbe5f160eeb completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:17 p.m.