Triple

T13550508
Position Surface form Disambiguated ID Type / Status
Subject Jordal Amfi E323631 entity
Predicate locatedIn P40 FINISHED
Object Gamle Oslo E128382 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: Gamle Oslo | Statement: [Jordal Amfi, locatedIn, Gamle Oslo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gamle Oslo
Context triple: [Jordal Amfi, locatedIn, Gamle Oslo]
  • A. Gamle Oslo district chosen
    Gamle Oslo district is a central borough of Norway’s capital city known for its historic neighborhoods, diverse population, and rapidly developing waterfront areas.
  • B. Old Stavanger (Gamle Stavanger)
    Old Stavanger (Gamle Stavanger) is a historic district in Stavanger, Norway, known for its well-preserved wooden houses from the 18th and 19th centuries and charming cobblestone streets.
  • C. Rakkestad
    Rakkestad is a rural municipality in Viken county, southeastern Norway, known for its agriculture and forests.
  • D. Oslo East
    Oslo East is the eastern part of Norway’s capital city, often associated with working-class neighborhoods, cultural diversity, and a strong local football supporter culture.
  • E. Akershus
    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.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff0a6548190b8cde5084cef0061 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da4e19c819090d649b60a2dd410 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:46 p.m.