Triple

T6915405
Position Surface form Disambiguated ID Type / Status
Subject Kamnik–Savinja Alps E160037 entity
Predicate hasPeak P8205 FINISHED
Object Brana
Brana is a prominent mountain peak in Slovenia’s Kamnik–Savinja Alps, popular with hikers and climbers for its scenic alpine views.
E627300 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: Brana | Statement: [Kamnik–Savinja Alps, hasPeak, Brana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brana
Context triple: [Kamnik–Savinja Alps, hasPeak, Brana]
  • A. Bradina
    Bradina is a small village in central Bosnia and Herzegovina, historically notable as the birthplace of Croatian fascist leader Ante Pavelić.
  • B. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • C. Randa
    Randa is a small town in Djibouti’s Tadjourah Region, known as a settlement along the route between the capital and the northern parts of the country.
  • D. Tarana
    Tarana is the first name of Tarana Burke, the American civil rights activist who founded the Me Too movement.
  • E. Povljana
    Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
  • 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: Brana
Triple: [Kamnik–Savinja Alps, hasPeak, Brana]
Generated description
Brana is a prominent mountain peak in Slovenia’s Kamnik–Savinja Alps, popular with hikers and climbers for its scenic alpine views.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brana
Target entity description: Brana is a prominent mountain peak in Slovenia’s Kamnik–Savinja Alps, popular with hikers and climbers for its scenic alpine views.
  • A. Bradina
    Bradina is a small village in central Bosnia and Herzegovina, historically notable as the birthplace of Croatian fascist leader Ante Pavelić.
  • B. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • C. Randa
    Randa is a small town in Djibouti’s Tadjourah Region, known as a settlement along the route between the capital and the northern parts of the country.
  • D. Tarana
    Tarana is the first name of Tarana Burke, the American civil rights activist who founded the Me Too movement.
  • E. Povljana
    Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9dec058819094d1913a1e5218c0 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7491589c08190982a84f2b61b497b completed March 28, 2026, 3:20 a.m.
NEDg Description generation batch_69c749e5a4188190829f534a12730c76 completed March 28, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69c74aaccf6c819084556ede9ffc0f19 completed March 28, 2026, 3:27 a.m.
Created at: March 27, 2026, 2:26 p.m.