Triple

T3518331
Position Surface form Disambiguated ID Type / Status
Subject Nol card E74359 entity
Predicate brandNameScript P14764 FINISHED
Object نول
نول هي بطاقة ذكية تستخدم كوسيلة دفع إلكترونية في وسائل النقل العام والبنية التحتية المرتبطة بها في إمارة دبي.
E365859 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: نول | Statement: [Nol card, brandNameScript, نول]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: نول
Context triple: [Nol card, brandNameScript, نول]
  • A. Noll
    Noll is a surname most prominently associated with Chuck Noll, the legendary head coach who led the Pittsburgh Steelers to four Super Bowl titles.
  • B. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • C. Nova
    Nova is the name given to TransPennine Express’s modern fleet of intercity trains used across its key routes in the North of England and Scotland.
  • D. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • E. Niwt-Imn
    Niwt-Imn is the ancient Egyptian name for the city later known as Thebes, a major religious and political center along the Nile.
  • 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: نول
Triple: [Nol card, brandNameScript, نول]
Generated description
نول هي بطاقة ذكية تستخدم كوسيلة دفع إلكترونية في وسائل النقل العام والبنية التحتية المرتبطة بها في إمارة دبي.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: نول
Target entity description: نول هي بطاقة ذكية تستخدم كوسيلة دفع إلكترونية في وسائل النقل العام والبنية التحتية المرتبطة بها في إمارة دبي.
  • A. Noll
    Noll is a surname most prominently associated with Chuck Noll, the legendary head coach who led the Pittsburgh Steelers to four Super Bowl titles.
  • B. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • C. Nova
    Nova is the name given to TransPennine Express’s modern fleet of intercity trains used across its key routes in the North of England and Scotland.
  • D. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • E. Niwt-Imn
    Niwt-Imn is the ancient Egyptian name for the city later known as Thebes, a major religious and political center along the Nile.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc49dea88190924c8abd29aabdad completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e80cd588190ae012f151ef59c52 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37ef902208190842ddbe6427ca42b completed March 13, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69b382b43b708190be7ae3d44b0a393a completed March 13, 2026, 3:21 a.m.
Created at: March 8, 2026, 3:19 p.m.