Triple

T22611678
Position Surface form Disambiguated ID Type / Status
Subject Stovner metro station E566719 entity
Predicate nearbyFacility P350 FINISHED
Object Stovner police station
Stovner police station is a local law enforcement facility serving the Stovner district in Oslo, Norway.
E1546184 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: Stovner police station | Statement: [Stovner metro station, nearbyFacility, Stovner police station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stovner police station
Context triple: [Stovner metro station, nearbyFacility, Stovner police station]
  • A. Stabekk Station
    Stabekk Station is a railway station in Bærum, Norway, serving the Stabekk area on the Drammen Line of the Norwegian rail network.
  • B. Voss Station
    Voss Station is a railway station in the village of Voss in Vestland county, Norway, serving as a stop on the Bergen Line between Bergen and Oslo.
  • C. Rygge Station
    Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
  • D. Jessheim Station
    Jessheim Station is a railway station in Jessheim, Norway, serving as a local transport hub on the country's rail network.
  • E. Vigrestad Station
    Vigrestad Station is a railway station in Hå municipality in Rogaland county, Norway, serving the village of Vigrestad on the Sørlandet Line.
  • 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: Stovner police station
Triple: [Stovner metro station, nearbyFacility, Stovner police station]
Generated description
Stovner police station is a local law enforcement facility serving the Stovner district in Oslo, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stovner police station
Target entity description: Stovner police station is a local law enforcement facility serving the Stovner district in Oslo, Norway.
  • A. Stabekk Station
    Stabekk Station is a railway station in Bærum, Norway, serving the Stabekk area on the Drammen Line of the Norwegian rail network.
  • B. Voss Station
    Voss Station is a railway station in the village of Voss in Vestland county, Norway, serving as a stop on the Bergen Line between Bergen and Oslo.
  • C. Rygge Station
    Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
  • D. Jessheim Station
    Jessheim Station is a railway station in Jessheim, Norway, serving as a local transport hub on the country's rail network.
  • E. Vigrestad Station
    Vigrestad Station is a railway station in Hå municipality in Rogaland county, Norway, serving the village of Vigrestad on the Sørlandet Line.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167eb08c88190bf2380fa8575d2da completed April 29, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b4dfb3bbc8190a80293adab818937 completed May 18, 2026, 5:35 p.m.
NEDg Description generation batch_6a0b4f24dd9c81908f6907c75d4c6da7 completed May 18, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_6a0b4fffea548190b0c3d9cce1c89aa9 completed May 18, 2026, 5:44 p.m.
Created at: April 17, 2026, 2:56 p.m.