Triple

T20018157
Position Surface form Disambiguated ID Type / Status
Subject Rauma E494776 entity
Predicate hasMountain P10602 FINISHED
Object Vengetindene NE NERFINISHED

How this triple was built (2 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: Vengetindene | Statement: [Rauma, hasMountain, Vengetindene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vengetindene
Context triple: [Rauma, hasMountain, Vengetindene]
  • A. Vengetindane chosen
    Vengetindane is a prominent mountain massif in Norway’s Romsdal region, known for its dramatic peaks and popular alpine climbing routes.
  • B. 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.
  • C. Veldidena
    Veldidena was a significant Roman-era settlement and strategic center located in the province of Raetia, in the region of present-day Austria.
  • D. 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.
  • E. Plantesamfund
    Plantesamfund is a foundational botanical work by Eugenius Warming that laid the groundwork for modern plant ecology by analyzing how plant communities are structured and interact with their environments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623d76808190988990a8dc263ef7 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.