Triple

T16193549
Position Surface form Disambiguated ID Type / Status
Subject State Border Guard Service of Ukraine E393001 entity
Predicate hasMotto P42 FINISHED
Object На варті кордону
«На варті кордону» — це гасло, що підкреслює готовність та відданість Державної прикордонної служби України захищати державний кордон.
 E1198505 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: На варті кордону | Statement: [State Border Guard Service of Ukraine, hasMotto, На варті кордону]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: На варті кордону
Context triple: [State Border Guard Service of Ukraine, hasMotto, На варті кордону]
  • A. كتاب الحدود
    كتاب الحدود هو مؤلَّف إسلامي كلاسيكي يتناول أحكام الحدود والعقوبات الشرعية في الفقه الإسلامي.
  • B. משמר הגבול
    משמר הגבול הוא חיל משטרתי-לוחם של משטרת ישראל האחראי על ביטחון גבולות, לוחמה בטרור ושמירת הסדר באזורים רגישים.
  • C. The Border
    The Border is a Finnish historical drama film scored by composer Tuomas Kantelinen, set in the turbulent aftermath of the Finnish Civil War.
  • D. The Border
    The Border is a 1982 crime drama film starring Jack Nicholson as a corrupt U.S. Border Patrol agent confronting moral dilemmas along the U.S.–Mexico border.
  • E. Borders
    Borders is a surname of English origin borne by various individuals, including the former professional baseball player Pat Borders.
  • 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: На варті кордону
Triple: [State Border Guard Service of Ukraine, hasMotto, На варті кордону]
Generated description
«На варті кордону» — це гасло, що підкреслює готовність та відданість Державної прикордонної служби України захищати державний кордон.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: На варті кордону
Target entity description: «На варті кордону» — це гасло, що підкреслює готовність та відданість Державної прикордонної служби України захищати державний кордон.
  • A. كتاب الحدود
    كتاب الحدود هو مؤلَّف إسلامي كلاسيكي يتناول أحكام الحدود والعقوبات الشرعية في الفقه الإسلامي.
  • B. משמר הגבול
    משמר הגבול הוא חיל משטרתי-לוחם של משטרת ישראל האחראי על ביטחון גבולות, לוחמה בטרור ושמירת הסדר באזורים רגישים.
  • C. The Border
    The Border is a Finnish historical drama film scored by composer Tuomas Kantelinen, set in the turbulent aftermath of the Finnish Civil War.
  • D. The Border
    The Border is a 1982 crime drama film starring Jack Nicholson as a corrupt U.S. Border Patrol agent confronting moral dilemmas along the U.S.–Mexico border.
  • E. Borders
    Borders is a surname of English origin borne by various individuals, including the former professional baseball player Pat Borders.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d74d788190a637fdb9b4f184b9 completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0bfd08819083afc4bea1b99aad completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a0001b815c481908ed6fcaea42ee9fc completed May 10, 2026, 3:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0002106a5c8190b92d27f01178a321 completed May 10, 2026, 3:57 a.m.
Created at: April 10, 2026, 5:02 a.m.