Triple

T9786165
Position Surface form Disambiguated ID Type / Status
Subject TurkishCuisine E237494 entity
Predicate typicalDish P19483 FINISHED
Object Borek
Borek is a traditional savory pastry made of thin layers of dough filled with ingredients like cheese, spinach, or meat, widely enjoyed across Turkey and the Balkans.
 E820760 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: Borek | Statement: [TurkishCuisine, typicalDish, Borek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Borek
Context triple: [TurkishCuisine, typicalDish, Borek]
  • A. Gabčík
    Gabčík is a Slovak surname most notably borne by Jozef Gabčík, a World War II resistance fighter involved in the assassination of Nazi official Reinhard Heydrich.
  • B. Bérégovoy
    Bérégovoy is the surname of Pierre Bérégovoy, a prominent French Socialist politician who served as Prime Minister of France in the early 1990s.
  • C. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • D. Brodinski
    Brodinski is a French DJ and electronic music producer known for his dark, techno-influenced sound and role in shaping the modern French electronic and club scene.
  • E. Antoshka
    Antoshka is a common Russian diminutive form of the male given name Anton, often used affectionately or informally.
  • 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: Borek
Triple: [TurkishCuisine, typicalDish, Borek]
Generated description
Borek is a traditional savory pastry made of thin layers of dough filled with ingredients like cheese, spinach, or meat, widely enjoyed across Turkey and the Balkans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Borek
Target entity description: Borek is a traditional savory pastry made of thin layers of dough filled with ingredients like cheese, spinach, or meat, widely enjoyed across Turkey and the Balkans.
  • A. Gabčík
    Gabčík is a Slovak surname most notably borne by Jozef Gabčík, a World War II resistance fighter involved in the assassination of Nazi official Reinhard Heydrich.
  • B. Bérégovoy
    Bérégovoy is the surname of Pierre Bérégovoy, a prominent French Socialist politician who served as Prime Minister of France in the early 1990s.
  • C. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • D. Brodinski
    Brodinski is a French DJ and electronic music producer known for his dark, techno-influenced sound and role in shaping the modern French electronic and club scene.
  • E. Antoshka
    Antoshka is a common Russian diminutive form of the male given name Anton, often used affectionately or informally.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda2107f688190b2cab1509c508319 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4235ae88190aefaa6d9b63031e0 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c477c9c48190b08f4871955d4450 completed April 5, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_69d1c520d3988190b7735f6d16e78ab5 completed April 5, 2026, 2:12 a.m.
Created at: March 30, 2026, 8:27 p.m.