Triple

T16460202
Position Surface form Disambiguated ID Type / Status
Subject Bolligen E399785 entity
Predicate hasRailwayStation P918 FINISHED
Object Bolligen railway station
Bolligen railway station is a local Swiss rail stop serving the municipality of Bolligen in the canton of Bern.
 E1214844 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: Bolligen railway station | Statement: [Bolligen, hasRailwayStation, Bolligen railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bolligen railway station
Context triple: [Bolligen, hasRailwayStation, Bolligen railway station]
  • A. Blindern station
    Blindern station is a metro stop on Oslo’s T-bane network serving the Blindern area, home to the main campus of the University of Oslo.
  • B. Bjorli Station
    Bjorli Station is a railway station in the village of Bjorli in Lesja, Norway, serving as a stop on the Rauma Line through the Romsdalen valley.
  • C. Brynseng station
    Brynseng station is a metro station in Oslo, Norway, serving as an interchange point on the Oslo Metro network.
  • D. Skøyen Station
    Skøyen Station is a major railway and commuter hub in Oslo, Norway, serving regional and local trains as part of the city's western transport corridor.
  • E. Nydalen station
    Nydalen station is an Oslo Metro station serving the Nydalen area in the Nordre Aker borough of Oslo, 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: Bolligen railway station
Triple: [Bolligen, hasRailwayStation, Bolligen railway station]
Generated description
Bolligen railway station is a local Swiss rail stop serving the municipality of Bolligen in the canton of Bern.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bolligen railway station
Target entity description: Bolligen railway station is a local Swiss rail stop serving the municipality of Bolligen in the canton of Bern.
  • A. Blindern station
    Blindern station is a metro stop on Oslo’s T-bane network serving the Blindern area, home to the main campus of the University of Oslo.
  • B. Bjorli Station
    Bjorli Station is a railway station in the village of Bjorli in Lesja, Norway, serving as a stop on the Rauma Line through the Romsdalen valley.
  • C. Brynseng station
    Brynseng station is a metro station in Oslo, Norway, serving as an interchange point on the Oslo Metro network.
  • D. Skøyen Station
    Skøyen Station is a major railway and commuter hub in Oslo, Norway, serving regional and local trains as part of the city's western transport corridor.
  • E. Nydalen station
    Nydalen station is an Oslo Metro station serving the Nydalen area in the Nordre Aker borough of Oslo, 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d80e66c8190b2b3199efe9cfaa1 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f53aff081909a75de6672f15f0e completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a0050a0f5b081908417c6062b1f50cc completed May 10, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_6a00517b7b1c819098118fdbe03eb010 completed May 10, 2026, 9:35 a.m.
Created at: April 10, 2026, 5:10 a.m.