Triple

T12734947
Position Surface form Disambiguated ID Type / Status
Subject Veľká Fatra E304337 entity
Predicate containsPeak P8205 FINISHED
Object Suchý vrch
Suchý vrch is a mountain peak in the Veľká Fatra range of central Slovakia, known for its forested slopes and scenic hiking routes.
E1001689 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: Suchý vrch | Statement: [Veľká Fatra, containsPeak, Suchý vrch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suchý vrch
Context triple: [Veľká Fatra, containsPeak, Suchý vrch]
  • A. Retezat Peak
    Retezat Peak is one of the highest and most prominent summits in Romania’s Retezat Mountains, renowned for its rugged alpine scenery within the Retezat National Park.
  • B. Stefani peak
    Stefani peak is a prominent summit on Mount Olympus in Greece, known for its striking rocky crown and challenging alpine routes within Olympus National Park.
  • C. Cheshnina Peak
    Cheshnina Peak is a mountain summit located within Alaska’s Wrangell Mountains range.
  • D. Mount Skoumbarda
    Mount Skoumbarda is the highest peak on the Greek island of Leros in the southeastern Aegean Sea.
  • E. Jezerní hora
    Jezerní hora is a mountain in the Bohemian Forest of the Czech Republic, known for its forested slopes and proximity to glacial lakes.
  • 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: Suchý vrch
Triple: [Veľká Fatra, containsPeak, Suchý vrch]
Generated description
Suchý vrch is a mountain peak in the Veľká Fatra range of central Slovakia, known for its forested slopes and scenic hiking routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Suchý vrch
Target entity description: Suchý vrch is a mountain peak in the Veľká Fatra range of central Slovakia, known for its forested slopes and scenic hiking routes.
  • A. Retezat Peak
    Retezat Peak is one of the highest and most prominent summits in Romania’s Retezat Mountains, renowned for its rugged alpine scenery within the Retezat National Park.
  • B. Stefani peak
    Stefani peak is a prominent summit on Mount Olympus in Greece, known for its striking rocky crown and challenging alpine routes within Olympus National Park.
  • C. Cheshnina Peak
    Cheshnina Peak is a mountain summit located within Alaska’s Wrangell Mountains range.
  • D. Mount Skoumbarda
    Mount Skoumbarda is the highest peak on the Greek island of Leros in the southeastern Aegean Sea.
  • E. Jezerní hora
    Jezerní hora is a mountain in the Bohemian Forest of the Czech Republic, known for its forested slopes and proximity to glacial lakes.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646b3ca08190b239f0736a01169d completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684e7dec08190b522a8f3bfde6fe2 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f685dac5cc8190b4bc2d81186c9266 completed May 2, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69f6869156048190b548ecd04561deb8 completed May 2, 2026, 11:19 p.m.
Created at: April 9, 2026, 5:26 p.m.