Triple

T16538525
Position Surface form Disambiguated ID Type / Status
Subject Nouaceur E401757 entity
Predicate hasNameInArabic P6450 FINISHED
Object النواصر
النواصر هي جماعة ومدينة تقع في جهة الدار البيضاء سطات بالمغرب وتشتهر بوجود مطار محمد الخامس الدولي ضمن نفوذها الترابي.
 E1220330 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: النواصر | Statement: [Nouaceur, hasNameInArabic, النواصر]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: النواصر
Context triple: [Nouaceur, hasNameInArabic, النواصر]
  • A. Nawalane
    Nawalane is a residential neighborhood located within the Lyari area of Karachi, Pakistan.
  • B. Сквира
    Сквира — це невелике місто в Київській області України, відоме як районний центр із переважно сільськогосподарським оточенням та історичною єврейською спадщиною.
  • C. Navedenga
    Navedenga is a large-scale, immersive installation by Brazilian artist Ernesto Neto that envelops viewers in a sensorial environment of organic forms, textiles, and spices.
  • D. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • E. Galeana
    Galeana is a Spanish-language surname most notably associated with Hermenegildo Galeana, a key insurgent leader in Mexico’s War of Independence.
  • 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: النواصر
Triple: [Nouaceur, hasNameInArabic, النواصر]
Generated description
النواصر هي جماعة ومدينة تقع في جهة الدار البيضاء سطات بالمغرب وتشتهر بوجود مطار محمد الخامس الدولي ضمن نفوذها الترابي.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: النواصر
Target entity description: النواصر هي جماعة ومدينة تقع في جهة الدار البيضاء سطات بالمغرب وتشتهر بوجود مطار محمد الخامس الدولي ضمن نفوذها الترابي.
  • A. Nawalane
    Nawalane is a residential neighborhood located within the Lyari area of Karachi, Pakistan.
  • B. Сквира
    Сквира — це невелике місто в Київській області України, відоме як районний центр із переважно сільськогосподарським оточенням та історичною єврейською спадщиною.
  • C. Navedenga
    Navedenga is a large-scale, immersive installation by Brazilian artist Ernesto Neto that envelops viewers in a sensorial environment of organic forms, textiles, and spices.
  • D. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • E. Galeana
    Galeana is a Spanish-language surname most notably associated with Hermenegildo Galeana, a key insurgent leader in Mexico’s War of Independence.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3455a98b481909e489ea7bd01570a completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067aafee48190a0652fb4fac04a5b completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a00686f87408190b7d8a41cd54735d8 completed May 10, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_6a006b6edd7081908730363b267253dd completed May 10, 2026, 11:26 a.m.
Created at: April 10, 2026, 5:15 a.m.