Triple

T7394600
Position Surface form Disambiguated ID Type / Status
Subject Oslo Metro Line 1 E170589 entity
Predicate hasStation P35 FINISHED
Object Gaustad station
Gaustad station is a stop on Oslo’s metro network serving the Gaustad area, including nearby institutions such as the Rikshospitalet university hospital.
 E671640 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: Gaustad station | Statement: [Oslo Metro Line 1, hasStation, Gaustad station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gaustad station
Context triple: [Oslo Metro Line 1, hasStation, Gaustad station]
  • A. Vegårshei Station
    Vegårshei Station is a railway station in Vegårshei, Norway, serving as a local stop on the Sørlandet Line.
  • B. Mortensrud station
    Mortensrud station is a metro station in Oslo, Norway, serving as the southern terminus of the Oslo Metro’s Line 3 in the Mortensrud neighborhood.
  • C. Slemdal station
    Slemdal station is a stop on Oslo’s metro network located in the residential Slemdal area of the city.
  • D. Gjøvik Station
    Gjøvik Station is a railway station in the town of Gjøvik, Norway, serving as the terminus for regional passenger services on the Gjøvik Line.
  • E. 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.
  • 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: Gaustad station
Triple: [Oslo Metro Line 1, hasStation, Gaustad station]
Generated description
Gaustad station is a stop on Oslo’s metro network serving the Gaustad area, including nearby institutions such as the Rikshospitalet university hospital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gaustad station
Target entity description: Gaustad station is a stop on Oslo’s metro network serving the Gaustad area, including nearby institutions such as the Rikshospitalet university hospital.
  • A. Vegårshei Station
    Vegårshei Station is a railway station in Vegårshei, Norway, serving as a local stop on the Sørlandet Line.
  • B. Mortensrud station
    Mortensrud station is a metro station in Oslo, Norway, serving as the southern terminus of the Oslo Metro’s Line 3 in the Mortensrud neighborhood.
  • C. Slemdal station
    Slemdal station is a stop on Oslo’s metro network located in the residential Slemdal area of the city.
  • D. Gjøvik Station
    Gjøvik Station is a railway station in the town of Gjøvik, Norway, serving as the terminus for regional passenger services on the Gjøvik Line.
  • E. 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.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2279de4819081b8876d02f55388 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84ee52fd48190adebb6ae555663a4 completed March 28, 2026, 9:57 p.m.
NEDg Description generation batch_69c84fc4c61c8190853529ebd887c8e7 completed March 28, 2026, 10:01 p.m.
NED2 Entity disambiguation (via description) batch_69c850327c8c81908c3e1ccf58b5bd74 completed March 28, 2026, 10:03 p.m.
Created at: March 27, 2026, 3:09 p.m.