Triple

T15014407
Position Surface form Disambiguated ID Type / Status
Subject Romsdal E377920 entity
Predicate containsMountain P10602 FINISHED
Object Vengetindane
Vengetindane is a prominent mountain massif in Norway’s Romsdal region, known for its dramatic peaks and popular alpine climbing routes.
 E1132486 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: Vengetindane | Statement: [Romsdal, containsMountain, Vengetindane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vengetindane
Context triple: [Romsdal, containsMountain, Vengetindane]
  • A. Grenen
    Grenen is a scenic sandbar at the northern tip of Denmark where the Skagerrak and Kattegat seas meet, known for its unique coastal landscape and wildlife.
  • B. Veldidena
    Veldidena was a significant Roman-era settlement and strategic center located in the province of Raetia, in the region of present-day Austria.
  • C. Vildgräs
    Vildgräs is a musical number from the Swedish stage musical "Kristina från Duvemåla," composed by Benny Andersson and Björn Ulvaeus and based on Vilhelm Moberg’s emigrant novels.
  • D. Drongen
    Drongen is a district of the Belgian city of Ghent, known as a suburban area in East Flanders.
  • E. Veitvet
    Veitvet is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local shopping center, and multicultural community.
  • 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: Vengetindane
Triple: [Romsdal, containsMountain, Vengetindane]
Generated description
Vengetindane is a prominent mountain massif in Norway’s Romsdal region, known for its dramatic peaks and popular alpine climbing routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vengetindane
Target entity description: Vengetindane is a prominent mountain massif in Norway’s Romsdal region, known for its dramatic peaks and popular alpine climbing routes.
  • A. Grenen
    Grenen is a scenic sandbar at the northern tip of Denmark where the Skagerrak and Kattegat seas meet, known for its unique coastal landscape and wildlife.
  • B. Veldidena
    Veldidena was a significant Roman-era settlement and strategic center located in the province of Raetia, in the region of present-day Austria.
  • C. Vildgräs
    Vildgräs is a musical number from the Swedish stage musical "Kristina från Duvemåla," composed by Benny Andersson and Björn Ulvaeus and based on Vilhelm Moberg’s emigrant novels.
  • D. Drongen
    Drongen is a district of the Belgian city of Ghent, known as a suburban area in East Flanders.
  • E. Veitvet
    Veitvet is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local shopping center, and multicultural community.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7623c3c819092ca36b358b01842 completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96aa3c888190a65e7b3c3b130131 completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe97af0a0c8190bca3ea103d05fd99 completed May 9, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_69fe98b18ab48190b2a47418904e6643 completed May 9, 2026, 2:15 a.m.
Created at: April 10, 2026, 2:55 a.m.