Triple

T11923237
Position Surface form Disambiguated ID Type / Status
Subject Zora Dirnbach E283711 entity
Predicate notableWork P4 FINISHED
Object Crna kutija
Crna kutija is a notable literary work by Croatian writer and journalist Zora Dirnbach.
E955296 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: Crna kutija | Statement: [Zora Dirnbach, notableWork, Crna kutija]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crna kutija
Context triple: [Zora Dirnbach, notableWork, Crna kutija]
  • A. Czarnca
    Czarnca is a village in south-central Poland historically known as the birthplace and estate of the 17th-century Polish military commander Stefan Czarniecki.
  • B. Zla Kolata
    Zla Kolata is a prominent peak in the Prokletije mountain range on the Montenegro–Albania border, known as one of the highest and most challenging summits in the region.
  • C. Sjenica
    Sjenica is a town in southwestern Serbia known for its harsh winters, high-altitude plateau setting, and production of the famous Sjenica cheese.
  • D. الركن الأسود
    الركن الأسود هو أحد أركان الكعبة المشرفة الذي يضم الحجر الأسود ويُعد موضعًا ذا قدسية خاصة في الشعائر الإسلامية.
  • E. Crnica
    Crnica is a river in central Serbia that flows through the city of Paraćin before joining the Velika Morava.
  • 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: Crna kutija
Triple: [Zora Dirnbach, notableWork, Crna kutija]
Generated description
Crna kutija is a notable literary work by Croatian writer and journalist Zora Dirnbach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Crna kutija
Target entity description: Crna kutija is a notable literary work by Croatian writer and journalist Zora Dirnbach.
  • A. Czarnca
    Czarnca is a village in south-central Poland historically known as the birthplace and estate of the 17th-century Polish military commander Stefan Czarniecki.
  • B. Zla Kolata
    Zla Kolata is a prominent peak in the Prokletije mountain range on the Montenegro–Albania border, known as one of the highest and most challenging summits in the region.
  • C. Sjenica
    Sjenica is a town in southwestern Serbia known for its harsh winters, high-altitude plateau setting, and production of the famous Sjenica cheese.
  • D. الركن الأسود
    الركن الأسود هو أحد أركان الكعبة المشرفة الذي يضم الحجر الأسود ويُعد موضعًا ذا قدسية خاصة في الشعائر الإسلامية.
  • E. Crnica
    Crnica is a river in central Serbia that flows through the city of Paraćin before joining the Velika Morava.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8e2fc648190a446c1917db1c7d9 completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f44042cf1c81909de44acfe1202482 completed May 1, 2026, 5:55 a.m.
NEDg Description generation batch_69f448fb898081908a8ffd0da703c0f9 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44b9e662881908549e041f6a05e38 completed May 1, 2026, 6:43 a.m.
Created at: April 8, 2026, 9:45 p.m.