Triple

T7471776
Position Surface form Disambiguated ID Type / Status
Subject Oslo Metro Line 4 E176523 entity
Predicate servesStation P839 FINISHED
Object Vollebekk station
Vollebekk station is a metro stop in Oslo, Norway, located on the city's rapid transit network and serving the surrounding residential area.
 E667339 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: Vollebekk station | Statement: [Oslo Metro Line 4, servesStation, Vollebekk station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vollebekk station
Context triple: [Oslo Metro Line 4, servesStation, Vollebekk station]
  • A. Vegårshei Station
    Vegårshei Station is a railway station in Vegårshei, Norway, serving as a local stop on the Sørlandet Line.
  • B. Hokksund Station
    Hokksund Station is a railway station in Hokksund, Norway, serving as a local and regional transport hub on the country’s rail network.
  • C. Verdal Station
    Verdal Station is a railway station in the town of Verdal in Trøndelag county, Norway, serving as a stop on the Nordland Line.
  • D. Vestfossen Station
    Vestfossen Station is a railway station serving the village of Vestfossen in Øvre Eiker, Norway, on the Sørlandet Line.
  • E. Bålsta Station
    Bålsta Station is a key regional rail hub in Bålsta, Sweden, serving as the northwestern terminus for Stockholm’s commuter rail network and connecting local and long-distance services.
  • 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: Vollebekk station
Triple: [Oslo Metro Line 4, servesStation, Vollebekk station]
Generated description
Vollebekk station is a metro stop in Oslo, Norway, located on the city's rapid transit network and serving the surrounding residential area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vollebekk station
Target entity description: Vollebekk station is a metro stop in Oslo, Norway, located on the city's rapid transit network and serving the surrounding residential area.
  • A. Vegårshei Station
    Vegårshei Station is a railway station in Vegårshei, Norway, serving as a local stop on the Sørlandet Line.
  • B. Hokksund Station
    Hokksund Station is a railway station in Hokksund, Norway, serving as a local and regional transport hub on the country’s rail network.
  • C. Verdal Station
    Verdal Station is a railway station in the town of Verdal in Trøndelag county, Norway, serving as a stop on the Nordland Line.
  • D. Vestfossen Station
    Vestfossen Station is a railway station serving the village of Vestfossen in Øvre Eiker, Norway, on the Sørlandet Line.
  • E. Bålsta Station
    Bålsta Station is a key regional rail hub in Bålsta, Sweden, serving as the northwestern terminus for Stockholm’s commuter rail network and connecting local and long-distance services.
  • 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f415b5cc81909e1e097c90f460b6 completed March 27, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83480a40c8190a7ae3e08022735a1 completed March 28, 2026, 8:05 p.m.
NEDg Description generation batch_69c835ce5bbc8190b968535c16cfc660 completed March 28, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_69c836a80eb081908b9937944fe18661 completed March 28, 2026, 8:14 p.m.
Created at: March 27, 2026, 3:41 p.m.