Triple

T15363661
Position Surface form Disambiguated ID Type / Status
Subject Saltfjellet E367351 entity
Predicate railwayStationOn P34369 FINISHED
Object Lønsdal Station
Lønsdal Station is a railway station in Nordland county, Norway, serving the remote mountain area of Saltfjellet on the Nordland Line.
E1159758 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: Lønsdal Station | Statement: [Saltfjellet, railwayStationOn, Lønsdal Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lønsdal Station
Context triple: [Saltfjellet, railwayStationOn, Lønsdal Station]
  • A. Slemdal station
    Slemdal station is a stop on Oslo’s metro network located in the residential Slemdal area of the city.
  • B. 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.
  • C. Blakstad station
    Blakstad station is a small railway station in Norway that serves the local community of Blakstad with regional train connections.
  • D. Vegårshei Station
    Vegårshei Station is a railway station in Vegårshei, Norway, serving as a local stop on the Sørlandet Line.
  • E. Hønefoss Station
    Hønefoss Station is a railway station in the town of Hønefoss in Ringerike, Norway, serving as a regional transport hub on key rail lines connecting eastern and western Norway.
  • 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: Lønsdal Station
Triple: [Saltfjellet, railwayStationOn, Lønsdal Station]
Generated description
Lønsdal Station is a railway station in Nordland county, Norway, serving the remote mountain area of Saltfjellet on the Nordland Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lønsdal Station
Target entity description: Lønsdal Station is a railway station in Nordland county, Norway, serving the remote mountain area of Saltfjellet on the Nordland Line.
  • A. Slemdal station
    Slemdal station is a stop on Oslo’s metro network located in the residential Slemdal area of the city.
  • B. 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.
  • C. Blakstad station
    Blakstad station is a small railway station in Norway that serves the local community of Blakstad with regional train connections.
  • D. Vegårshei Station
    Vegårshei Station is a railway station in Vegårshei, Norway, serving as a local stop on the Sørlandet Line.
  • E. Hønefoss Station
    Hønefoss Station is a railway station in the town of Hønefoss in Ringerike, Norway, serving as a regional transport hub on key rail lines connecting eastern and western Norway.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e479f188190bbbc3dcd73853e02 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cec4f2481908fae5209bfd48dcf completed May 9, 2026, 12:47 p.m.
NEDg Description generation batch_69ff2e7bf8c881909fecb6cf86bc32f2 completed May 9, 2026, 12:54 p.m.
NED2 Entity disambiguation (via description) batch_69ff331c267c8190bbc26ddd47273be7 completed May 9, 2026, 1:14 p.m.
Created at: April 10, 2026, 3:18 a.m.