Triple

T12178137
Position Surface form Disambiguated ID Type / Status
Subject Baabda E290141 entity
Predicate hasNameInArabic P6450 FINISHED
Object بعبدا
بعبدا هي بلدة لبنانية تقع في قضاء بعبدا بمحافظة جبل لبنان وتشتهر بكونها مقر القصر الجمهوري اللبناني.
 E967550 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: بعبدا | Statement: [Baabda, hasNameInArabic, بعبدا]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: بعبدا
Context triple: [Baabda, hasNameInArabic, بعبدا]
  • A. Boucha
    Boucha is the surname of Henry Boucha, a notable American ice hockey player of Ojibwe heritage.
  • B. Lebou
    The Lebou are a coastal West African ethnic group primarily found around Dakar, Senegal, known historically as skilled fishermen and early urban settlers of the Cap-Vert Peninsula.
  • C. Dombay
    Dombay is a mountain resort settlement in the North Caucasus of Russia, known for its alpine scenery, skiing, and hiking opportunities.
  • D. Olona
    The Olona is a river in northern Italy that flows through the Lombardy region, including the city of Milan.
  • E. Béja
    Béja is a historic city in northwestern Tunisia known for its agricultural importance and Roman-era heritage.
  • 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: بعبدا
Triple: [Baabda, hasNameInArabic, بعبدا]
Generated description
بعبدا هي بلدة لبنانية تقع في قضاء بعبدا بمحافظة جبل لبنان وتشتهر بكونها مقر القصر الجمهوري اللبناني.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: بعبدا
Target entity description: بعبدا هي بلدة لبنانية تقع في قضاء بعبدا بمحافظة جبل لبنان وتشتهر بكونها مقر القصر الجمهوري اللبناني.
  • A. Boucha
    Boucha is the surname of Henry Boucha, a notable American ice hockey player of Ojibwe heritage.
  • B. Lebou
    The Lebou are a coastal West African ethnic group primarily found around Dakar, Senegal, known historically as skilled fishermen and early urban settlers of the Cap-Vert Peninsula.
  • C. Dombay
    Dombay is a mountain resort settlement in the North Caucasus of Russia, known for its alpine scenery, skiing, and hiking opportunities.
  • D. Olona
    The Olona is a river in northern Italy that flows through the Lombardy region, including the city of Milan.
  • E. Béja
    Béja is a historic city in northwestern Tunisia known for its agricultural importance and Roman-era heritage.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915fa6ff08190a1ddb3606c229cad completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6ab19288190a882c842d74a2e30 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f600b7e1788190b1df4fdfd96118d0 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f604c4ef7c8190bc128b1aa535744d completed May 2, 2026, 2:05 p.m.
Created at: April 8, 2026, 9:50 p.m.