Triple

T20835411
Position Surface form Disambiguated ID Type / Status
Subject Trnovo E512946 entity
Predicate hasMountain P10602 FINISHED
Object Bjelašnica
Bjelašnica is a prominent mountain in central Bosnia and Herzegovina, known for its ski resort and role as a venue for the 1984 Winter Olympics near Sarajevo.
E1460372 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: Bjelašnica | Statement: [Trnovo, hasMountain, Bjelašnica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bjelašnica
Context triple: [Trnovo, hasMountain, Bjelašnica]
  • A. Bjelopavlići
    Bjelopavlići is a historical Montenegrin tribe known for inhabiting a fertile valley along the Zeta River and playing a significant role in the region’s social and political life.
  • B. Bjelolasica
    Bjelolasica is a prominent mountain peak in Croatia known for its forested slopes and former ski facilities.
  • C. Gračanica
    Gračanica is a town in central Kosovo known for its significant Serbian cultural and religious heritage, including the medieval Gračanica Monastery.
  • D. Bijeljina
    Bijeljina is a city in northeastern Bosnia and Herzegovina, known as a regional economic and cultural center in the Semberija plain.
  • E. Belišće
    Belišće is a small industrial town in eastern Croatia known for its paper and wood-processing industries and location near the Drava River.
  • 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: Bjelašnica
Triple: [Trnovo, hasMountain, Bjelašnica]
Generated description
Bjelašnica is a prominent mountain in central Bosnia and Herzegovina, known for its ski resort and role as a venue for the 1984 Winter Olympics near Sarajevo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bjelašnica
Target entity description: Bjelašnica is a prominent mountain in central Bosnia and Herzegovina, known for its ski resort and role as a venue for the 1984 Winter Olympics near Sarajevo.
  • A. Bjelopavlići
    Bjelopavlići is a historical Montenegrin tribe known for inhabiting a fertile valley along the Zeta River and playing a significant role in the region’s social and political life.
  • B. Bjelolasica
    Bjelolasica is a prominent mountain peak in Croatia known for its forested slopes and former ski facilities.
  • C. Gračanica
    Gračanica is a town in central Kosovo known for its significant Serbian cultural and religious heritage, including the medieval Gračanica Monastery.
  • D. Bijeljina
    Bijeljina is a city in northeastern Bosnia and Herzegovina, known as a regional economic and cultural center in the Semberija plain.
  • E. Belišće
    Belišće is a small industrial town in eastern Croatia known for its paper and wood-processing industries and location near the Drava River.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c32622c481908b8d2159bd5bb0ad completed April 21, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092fa2c5d881909e5cf9fc4bd83c5f completed May 17, 2026, 3:01 a.m.
NEDg Description generation batch_6a0930941a9c81909dc01bbb84e9d1c6 completed May 17, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_6a09311fe608819095e91aebaa0d62e8 completed May 17, 2026, 3:08 a.m.
Created at: April 16, 2026, 12:42 p.m.