Triple

T15924347
Position Surface form Disambiguated ID Type / Status
Subject Agim Çeku E386168 entity
Predicate familyName P18 FINISHED
Object Çeku
Çeku is a Kosovar Albanian surname most notably borne by Agim Çeku, a former military commander and politician who served as Prime Minister of Kosovo.
 E1184628 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: Çeku | Statement: [Agim Çeku, familyName, Çeku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Çeku
Context triple: [Agim Çeku, familyName, Çeku]
  • A. Tuchan
    Tuchan is a small commune in southern France’s Aude department, known for its wine production and scenic location in the Corbières hills.
  • B. Buksa
    Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
  • C. Zeměchy
    Zeměchy is a local district or neighborhood that forms part of the town of Kralupy nad Vltavou in the Central Bohemian Region of the Czech Republic.
  • D. Tschira
    Tschira is a German surname most notably associated with Klaus Tschira, a co-founder of the software company SAP and a prominent philanthropist in science and education.
  • E. Cíhú
    Cíhú is the romanized name of Cihu Lake, a scenic body of water in Taiwan known for its tranquil landscapes and surrounding cultural sites.
  • 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: Çeku
Triple: [Agim Çeku, familyName, Çeku]
Generated description
Çeku is a Kosovar Albanian surname most notably borne by Agim Çeku, a former military commander and politician who served as Prime Minister of Kosovo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Çeku
Target entity description: Çeku is a Kosovar Albanian surname most notably borne by Agim Çeku, a former military commander and politician who served as Prime Minister of Kosovo.
  • A. Tuchan
    Tuchan is a small commune in southern France’s Aude department, known for its wine production and scenic location in the Corbières hills.
  • B. Buksa
    Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
  • C. Zeměchy
    Zeměchy is a local district or neighborhood that forms part of the town of Kralupy nad Vltavou in the Central Bohemian Region of the Czech Republic.
  • D. Tschira
    Tschira is a German surname most notably associated with Klaus Tschira, a co-founder of the software company SAP and a prominent philanthropist in science and education.
  • E. Cíhú
    Cíhú is the romanized name of Cihu Lake, a scenic body of water in Taiwan known for its tranquil landscapes and surrounding cultural sites.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1568424f08190bffe6ee465a0db9a completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5aba70c8190a74c45bce6f9b782 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb6866e388190ad7ee4e3923bef17 completed May 9, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69ffb753d1f4819096fd0a8ea7fc4a8e completed May 9, 2026, 10:38 p.m.
Created at: April 10, 2026, 4:52 a.m.