Triple

T4405190
Position Surface form Disambiguated ID Type / Status
Subject Mačva region E93713 entity
Predicate hasMajorTown P316 FINISHED
Object Klenje
Klenje is a town in Serbia located within the historic Mačva region.
 E437879 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: Klenje | Statement: [Mačva region, hasMajorTown, Klenje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Klenje
Context triple: [Mačva region, hasMajorTown, Klenje]
  • A. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • B. Kremmen
    Kremmen is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
  • C. Kragle
    The Kragle is a powerful superweapon made from a tube of Krazy Glue that the villain Lord Business uses to freeze the LEGO world in place in *The LEGO Movie*.
  • D. Krakolye
    Krakolye is a historic village in northwestern Russia known as one of the traditional settlement areas of the Votic people and their endangered Uralic language.
  • E. Käina
    Käina is a small settlement on the Estonian island of Hiiumaa, known for its coastal landscapes and traditional rural character.
  • 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: Klenje
Triple: [Mačva region, hasMajorTown, Klenje]
Generated description
Klenje is a town in Serbia located within the historic Mačva region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Klenje
Target entity description: Klenje is a town in Serbia located within the historic Mačva region.
  • A. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • B. Kremmen
    Kremmen is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
  • C. Kragle
    The Kragle is a powerful superweapon made from a tube of Krazy Glue that the villain Lord Business uses to freeze the LEGO world in place in *The LEGO Movie*.
  • D. Krakolye
    Krakolye is a historic village in northwestern Russia known as one of the traditional settlement areas of the Votic people and their endangered Uralic language.
  • E. Käina
    Käina is a small settlement on the Estonian island of Hiiumaa, known for its coastal landscapes and traditional rural character.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b35488d5b8819087370dd77249aefb completed March 13, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f6016bd881908099c4a9ab972580 completed March 14, 2026, 11:57 p.m.
NEDg Description generation batch_69b5f689da008190ae5bd42af1f95bfa completed March 15, 2026, midnight
NED2 Entity disambiguation (via description) batch_69b5f72f5dac819081f98d835c467aca completed March 15, 2026, 12:02 a.m.
Created at: March 12, 2026, 11:28 p.m.