Triple

T11088981
Position Surface form Disambiguated ID Type / Status
Subject Kitab al-Hudud E262198 entity
Predicate hasTitleInArabicScript P51392 FINISHED
Object كتاب الحدود
كتاب الحدود هو مؤلَّف إسلامي كلاسيكي يتناول أحكام الحدود والعقوبات الشرعية في الفقه الإسلامي.
 E904123 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: كتاب الحدود | Statement: [Kitab al-Hudud, hasTitleInArabicScript, كتاب الحدود]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: كتاب الحدود
Context triple: [Kitab al-Hudud, hasTitleInArabicScript, كتاب الحدود]
  • A. 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.
  • B. Fronteira
    Fronteira is a small Portuguese municipality in the Alentejo region, known for its rural landscape and historical heritage.
  • C. La Frontera
    La Frontera is the historical frontier region in southern Chile that was the site of prolonged conflict and cultural interaction between Spanish colonizers and the indigenous Mapuche people.
  • D. משמר הגבול
    משמר הגבול הוא חיל משטרתי-לוחם של משטרת ישראל האחראי על ביטחון גבולות, לוחמה בטרור ושמירת הסדר באזורים רגישים.
  • E. Borders
    Borders is a rural region in southern Scotland known for its rolling hills, historic abbeys, and small market towns near the English border.
  • 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: كتاب الحدود
Triple: [Kitab al-Hudud, hasTitleInArabicScript, كتاب الحدود]
Generated description
كتاب الحدود هو مؤلَّف إسلامي كلاسيكي يتناول أحكام الحدود والعقوبات الشرعية في الفقه الإسلامي.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: كتاب الحدود
Target entity description: كتاب الحدود هو مؤلَّف إسلامي كلاسيكي يتناول أحكام الحدود والعقوبات الشرعية في الفقه الإسلامي.
  • A. 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.
  • B. Fronteira
    Fronteira is a small Portuguese municipality in the Alentejo region, known for its rural landscape and historical heritage.
  • C. La Frontera
    La Frontera is the historical frontier region in southern Chile that was the site of prolonged conflict and cultural interaction between Spanish colonizers and the indigenous Mapuche people.
  • D. משמר הגבול
    משמר הגבול הוא חיל משטרתי-לוחם של משטרת ישראל האחראי על ביטחון גבולות, לוחמה בטרור ושמירת הסדר באזורים רגישים.
  • E. Borders
    Borders is a rural region in southern Scotland known for its rolling hills, historic abbeys, and small market towns near the English border.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799e844b08190987c7c8e8d626510 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7b68ca88190a26ee54eb873c9cf completed April 18, 2026, 8:21 p.m.
NEDg Description generation batch_69e3f2cafc008190a3504999297f1e4e completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f488819081908f9a4225279cde6b completed April 18, 2026, 9:15 p.m.
Created at: April 8, 2026, 9:27 p.m.