Triple

T27146829
Position Surface form Disambiguated ID Type / Status
Subject نوف هچليل E681972 entity
Predicate الاسم_العربي P6450 FINISHED
Object نوف هچليل
نوف هچليل هو اسم علم عربي يُستخدم غالبًا كاسم شخصي أنثوي في المجتمعات العربية.
 E1756624 NE FINISHED

How this triple was built (3 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: نوف هچليل | Statement: [نوف هچليل, الاسم_العربي, نوف هچليل]
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: نوف هچليل
Triple: [نوف هچليل, الاسم_العربي, نوف هچليل]
Generated description
نوف هچليل هو اسم علم عربي يُستخدم غالبًا كاسم شخصي أنثوي في المجتمعات العربية.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: الاسم_العربي
Context triple: [نوف هچليل, الاسم_العربي, نوف هچليل]
  • A. hasNameInArabic chosen
    Indicates that an entity is associated with a specific name expressed in the Arabic language.
  • B. nameInAramaic
    Indicates that an entity has a specific name expressed in the Aramaic language.
  • C. hasGivenNameFormInArabic
    Indicates that an entity has a specific given-name form expressed in the Arabic language.
  • D. hasNameInUrdu
    Indicates that an entity is associated with a specific name expressed in the Urdu language.
  • E. nameInKurdish
    Indicates that an entity is referred to by a particular name in the Kurdish language.
  • F. None of above.

Provenance (6 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_69eefacca3888190b67238d380e8f28b completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f624c6dff08190ba0573eba9d63449 completed May 2, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a124827307481909384f4ca460a6489 completed May 24, 2026, 12:36 a.m.
NEDg Description generation batch_6a1249b4849481908a13899b826f6524 completed May 24, 2026, 12:43 a.m.
NED2 Entity disambiguation (via description) batch_6a124a29725c81909909899720a829a9 completed May 24, 2026, 12:45 a.m.
PD Predicate disambiguation batch_69f620e38aec8190bb184edcdbd6da64 completed May 2, 2026, 4:05 p.m.
Created at: April 27, 2026, 9:12 a.m.