Triple

T7413802
Position Surface form Disambiguated ID Type / Status
Subject Karawanks E171076 entity
Predicate hasPeak P8205 FINISHED
Object Vrtača
Vrtača is a prominent mountain peak in the Karawanks range on the border between Slovenia and Austria, popular with hikers and mountaineers for its panoramic Alpine views.
 E663843 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: Vrtača | Statement: [Karawanks, hasPeak, Vrtača]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vrtača
Context triple: [Karawanks, hasPeak, Vrtača]
  • A. Vrakuňa
    Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
  • B. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • C. Blisk
    Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
  • D. Vodičkova
    Vodičkova is a central street in Prague, Czech Republic, known for its shops, tram lines, and connection between Wenceslas Square and other key parts of the city center.
  • E. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • 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: Vrtača
Triple: [Karawanks, hasPeak, Vrtača]
Generated description
Vrtača is a prominent mountain peak in the Karawanks range on the border between Slovenia and Austria, popular with hikers and mountaineers for its panoramic Alpine views.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vrtača
Target entity description: Vrtača is a prominent mountain peak in the Karawanks range on the border between Slovenia and Austria, popular with hikers and mountaineers for its panoramic Alpine views.
  • A. Vrakuňa
    Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
  • B. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • C. Blisk
    Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
  • D. Vodičkova
    Vodičkova is a central street in Prague, Czech Republic, known for its shops, tram lines, and connection between Wenceslas Square and other key parts of the city center.
  • E. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c509ac8190876f207267a33a3b completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ee1b48c81909912ff0d7bf2837e completed March 28, 2026, 6:33 p.m.
NEDg Description generation batch_69c81fb91eb88190b6436ace69d44211 completed March 28, 2026, 6:36 p.m.
NED2 Entity disambiguation (via description) batch_69c822f547388190be0879b70542a421 completed March 28, 2026, 6:50 p.m.
Created at: March 27, 2026, 3:11 p.m.