Triple

T6020673
Position Surface form Disambiguated ID Type / Status
Subject Bjerke district E134053 entity
Predicate hasLandmark P105 FINISHED
Object Bjerke Travbane
Bjerke Travbane is a prominent harness racing track and sports venue located in the Bjerke district of Oslo, Norway.
 E560832 NE FINISHED

How this triple was built (4 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: Bjerke Travbane | Statement: [Bjerke district, hasLandmark, Bjerke Travbane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bjerke Travbane
Context triple: [Bjerke district, hasLandmark, Bjerke Travbane]
  • A. Jærbanen
    Jærbanen is a regional railway line in southwestern Norway that runs along the Jæren coast, connecting Stavanger with surrounding towns and communities.
  • B. Brekstad
    Brekstad is a coastal town in central Norway that serves as an administrative and commercial center for the Fosen region.
  • C. Bjugn
    Bjugn is a former municipality and coastal community in Trøndelag county, Norway, known for its fishing, agriculture, and location on the Fosen peninsula.
  • D. Evenskjer
    Evenskjer is a small village in Northern Norway that serves as an administrative and service center in the Troms region.
  • E. Skillebekk
    Skillebekk is a residential neighborhood in Oslo, Norway, known for its central location, historic architecture, and proximity to the Frogner and city center areas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bjerke Travbane
Triple: [Bjerke district, hasLandmark, Bjerke Travbane]
Generated description
Bjerke Travbane is a prominent harness racing track and sports venue located in the Bjerke district of Oslo, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bjerke Travbane
Target entity description: Bjerke Travbane is a prominent harness racing track and sports venue located in the Bjerke district of Oslo, Norway.
  • A. Jærbanen
    Jærbanen is a regional railway line in southwestern Norway that runs along the Jæren coast, connecting Stavanger with surrounding towns and communities.
  • B. Brekstad
    Brekstad is a coastal town in central Norway that serves as an administrative and commercial center for the Fosen region.
  • C. Bjugn
    Bjugn is a former municipality and coastal community in Trøndelag county, Norway, known for its fishing, agriculture, and location on the Fosen peninsula.
  • D. Evenskjer
    Evenskjer is a small village in Northern Norway that serves as an administrative and service center in the Troms region.
  • E. Skillebekk
    Skillebekk is a residential neighborhood in Oslo, Norway, known for its central location, historic architecture, and proximity to the Frogner and city center areas.
  • F. None of above. chosen

Provenance (5 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fba86a48190984e95d5adf7c7f1 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108c2e1c88190a1629c6438f6c8bd completed March 23, 2026, 9:32 a.m.
NEDg Description generation batch_69c1096d5f2881909126730848ca0e78 completed March 23, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_69c10b2699088190a468989beded758e completed March 23, 2026, 9:43 a.m.
Created at: March 22, 2026, 4:07 p.m.