Triple

T13550534
Position Surface form Disambiguated ID Type / Status
Subject Jordal Amfi E323631 entity
Predicate operator P179 FINISHED
Object Oslo municipality E3654 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: Oslo municipality | Statement: [Jordal Amfi, operator, Oslo municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo municipality
Context triple: [Jordal Amfi, operator, Oslo municipality]
  • A. Trondheim municipality
    Trondheim municipality is a local government area in Trøndelag county, Norway, encompassing the city of Trondheim and its surrounding districts.
  • B. Nordre Follo municipality
    Nordre Follo municipality is a local government area in Viken county, Norway, located just south of Oslo and known for its suburban communities, forests, and transport connections to the capital.
  • C. Oslo chosen
    Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
  • D. Oslo
    Oslo is a collection of shared libraries that provide common code and patterns used across various OpenStack projects.
  • E. Trondheim
    Trondheim is a historic Norwegian city in Trøndelag county, known for its medieval Nidaros Cathedral and role as a former capital of Norway.
  • 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_69f78add2b0c8190ade1af991744c4e0 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:46 p.m.