Triple

T5290931
Position Surface form Disambiguated ID Type / Status
Subject Bergen Line E119738 entity
Predicate passesThrough P225 FINISHED
Object Finse
Finse is a remote mountain village and railway station in Norway, known as the highest point on the Bergen Line and a popular base for hiking and glacier activities.
 E508955 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: Finse | Statement: [Bergen Line, passesThrough, Finse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Finse
Context triple: [Bergen Line, passesThrough, Finse]
  • A. Loen
    Loen is a small settlement located on Namu Atoll in the Marshall Islands, a remote Pacific island nation.
  • B. Trysil
    Trysil is a Norwegian municipality renowned for its large alpine ski resort and extensive outdoor recreation opportunities.
  • C. Sixten
    Sixten is a masculine given name of Scandinavian origin, most notably borne by Swedish industrial designer Sixten Sason.
  • D. Ullensvang
    Ullensvang is a scenic municipality in Vestland county, Norway, known for its fruit orchards, fjord landscapes, and location along the Hardangerfjord.
  • E. Hafjell
    Hafjell is a major Norwegian ski resort in the Øyer municipality, known for hosting alpine events during the 1994 Lillehammer Winter Olympics and offering extensive slopes and winter sports facilities.
  • 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: Finse
Triple: [Bergen Line, passesThrough, Finse]
Generated description
Finse is a remote mountain village and railway station in Norway, known as the highest point on the Bergen Line and a popular base for hiking and glacier activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Finse
Target entity description: Finse is a remote mountain village and railway station in Norway, known as the highest point on the Bergen Line and a popular base for hiking and glacier activities.
  • A. Loen
    Loen is a small settlement located on Namu Atoll in the Marshall Islands, a remote Pacific island nation.
  • B. Trysil
    Trysil is a Norwegian municipality renowned for its large alpine ski resort and extensive outdoor recreation opportunities.
  • C. Sixten
    Sixten is a masculine given name of Scandinavian origin, most notably borne by Swedish industrial designer Sixten Sason.
  • D. Ullensvang
    Ullensvang is a scenic municipality in Vestland county, Norway, known for its fruit orchards, fjord landscapes, and location along the Hardangerfjord.
  • E. Hafjell
    Hafjell is a major Norwegian ski resort in the Øyer municipality, known for hosting alpine events during the 1994 Lillehammer Winter Olympics and offering extensive slopes and winter sports facilities.
  • 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84eac7b88190900142bd1310c0fd completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06f066988190a3df7e270df84fdd completed March 21, 2026, 9 p.m.
NEDg Description generation batch_69bf09fd3dc48190be94a4b5b1f32dc6 completed March 21, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69bf0a8c90888190bd7cc6d940b62cd1 completed March 21, 2026, 9:15 p.m.
Created at: March 20, 2026, 1:52 p.m.