Triple

T5267410
Position Surface form Disambiguated ID Type / Status
Subject Slavonia E118970 entity
Predicate importantCity P3940 FINISHED
Object Požega
Požega is a historic town and regional center in eastern Croatia, known for its cultural heritage and location in the fertile Požega Valley.
E507623 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: Požega | Statement: [Slavonia, importantCity, Požega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Požega
Context triple: [Slavonia, importantCity, Požega]
  • A. 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.
  • B. Crikvenica
    Crikvenica is a coastal town and popular tourist resort on the Adriatic Sea in western Croatia.
  • C. Jasenica
    Jasenica is a river in central Serbia that flows through the Šumadija region before joining the Velika Morava.
  • D. Prijepolje
    Prijepolje is a town in southwestern Serbia near the border with Montenegro, known for its multicultural heritage and scenic location along the Lim River.
  • E. Žabljak
    Žabljak is a small mountain town in northern Montenegro known as a major center for outdoor tourism, especially hiking and skiing in the Durmitor region.
  • 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: Požega
Triple: [Slavonia, importantCity, Požega]
Generated description
Požega is a historic town and regional center in eastern Croatia, known for its cultural heritage and location in the fertile Požega Valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Požega
Target entity description: Požega is a historic town and regional center in eastern Croatia, known for its cultural heritage and location in the fertile Požega Valley.
  • A. 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.
  • B. Crikvenica
    Crikvenica is a coastal town and popular tourist resort on the Adriatic Sea in western Croatia.
  • C. Jasenica
    Jasenica is a river in central Serbia that flows through the Šumadija region before joining the Velika Morava.
  • D. Prijepolje
    Prijepolje is a town in southwestern Serbia near the border with Montenegro, known for its multicultural heritage and scenic location along the Lim River.
  • E. Žabljak
    Žabljak is a small mountain town in northern Montenegro known as a major center for outdoor tourism, especially hiking and skiing in the Durmitor region.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bfc3f288190b128777caaad2275 completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe924e80819083fbc761900e263c completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69bf028c767881908e164047cb92179a completed March 21, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_69bf02fc28a48190acfcf367ae9d8384 completed March 21, 2026, 8:43 p.m.
Created at: March 20, 2026, 1:51 p.m.