Triple

T21491631
Position Surface form Disambiguated ID Type / Status
Subject Krbava E530250 entity
Predicate culturalRegion P1968 FINISHED
Object Lika-Krbava
Lika-Krbava is a historical region in central Croatia known for its mountainous landscapes, sparse population, and role as a former administrative county within the Kingdom of Croatia-Slavonia.
E1507766 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: Lika-Krbava | Statement: [Krbava, culturalRegion, Lika-Krbava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lika-Krbava
Context triple: [Krbava, culturalRegion, Lika-Krbava]
  • A. Grbavica
    Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
  • B. Sovljak
    Sovljak is a village in western Serbia located within the Municipality of Bogatić in the Mačva region.
  • C. Dudinka
    Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
  • D. Košutnjak
    Košutnjak is a large forested park and recreational area in Belgrade, Serbia, known for its natural scenery and historical significance.
  • E. Bjelolasica
    Bjelolasica is a prominent mountain peak in Croatia known for its forested slopes and former ski facilities.
  • 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: Lika-Krbava
Triple: [Krbava, culturalRegion, Lika-Krbava]
Generated description
Lika-Krbava is a historical region in central Croatia known for its mountainous landscapes, sparse population, and role as a former administrative county within the Kingdom of Croatia-Slavonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lika-Krbava
Target entity description: Lika-Krbava is a historical region in central Croatia known for its mountainous landscapes, sparse population, and role as a former administrative county within the Kingdom of Croatia-Slavonia.
  • A. Grbavica
    Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
  • B. Sovljak
    Sovljak is a village in western Serbia located within the Municipality of Bogatić in the Mačva region.
  • C. Dudinka
    Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
  • D. Košutnjak
    Košutnjak is a large forested park and recreational area in Belgrade, Serbia, known for its natural scenery and historical significance.
  • E. Bjelolasica
    Bjelolasica is a prominent mountain peak in Croatia known for its forested slopes and former ski facilities.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea3ba2fc81909638bbb3e1d92ea5 completed April 23, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a59ee34cc8190857b9ac2c563f2fc completed May 18, 2026, 12:14 a.m.
NEDg Description generation batch_6a0a5b34e1948190868859eae050ed22 completed May 18, 2026, 12:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0a5bce1c388190aa0149fab353f30f completed May 18, 2026, 12:22 a.m.
Created at: April 16, 2026, 6:22 p.m.