Triple

T15684566
Position Surface form Disambiguated ID Type / Status
Subject Dukagjin region E380163 entity
Predicate hasCity P316 FINISHED
Object Klina
Klina is a small town and municipality in western Kosovo, situated in the historical Dukagjin region.
 E1171629 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: Klina | Statement: [Dukagjin region, hasCity, Klina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Klina
Context triple: [Dukagjin region, hasCity, Klina]
  • A. Karintha
    Karintha is a central character in Jean Toomer's modernist work "Cane," depicted as a beautiful Southern Black woman whose life reflects themes of desire, exploitation, and the burdens placed on Black women in the early 20th-century American South.
  • B. Kamenitsa
    Kamenitsa is a village in Bulgaria known primarily as the birthplace of the revolutionary Vlado Chernozemski.
  • C. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • D. Karesi
    Karesi is a central district and municipality of Balıkesir in western Turkey, known for its role as an administrative and commercial hub of the province.
  • E. Ravanica
    Ravanica is a river in central Serbia that flows through the region 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: Klina
Triple: [Dukagjin region, hasCity, Klina]
Generated description
Klina is a small town and municipality in western Kosovo, situated in the historical Dukagjin region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Klina
Target entity description: Klina is a small town and municipality in western Kosovo, situated in the historical Dukagjin region.
  • A. Karintha
    Karintha is a central character in Jean Toomer's modernist work "Cane," depicted as a beautiful Southern Black woman whose life reflects themes of desire, exploitation, and the burdens placed on Black women in the early 20th-century American South.
  • B. Kamenitsa
    Kamenitsa is a village in Bulgaria known primarily as the birthplace of the revolutionary Vlado Chernozemski.
  • C. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • D. Karesi
    Karesi is a central district and municipality of Balıkesir in western Turkey, known for its role as an administrative and commercial hub of the province.
  • E. Ravanica
    Ravanica is a river in central Serbia that flows through the region 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f31b5b881908e46ecd9fc6048ab completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee740e08190aa048b374ea7bfa0 completed May 9, 2026, 5:29 p.m.
NEDg Description generation batch_69ff70ae4d408190924aa3ef57b4e685 completed May 9, 2026, 5:36 p.m.
NED2 Entity disambiguation (via description) batch_69ff7132e48c81908c17ade46713bb13 completed May 9, 2026, 5:38 p.m.
Created at: April 10, 2026, 4:44 a.m.