Triple

T4351911
Position Surface form Disambiguated ID Type / Status
Subject Nol Red Ticket E98044 entity
Predicate abbreviation P43 FINISHED
Object Nol Red
Nol Red is a type of Nol transit card used for public transportation in Dubai, typically intended for occasional or short-term travelers.
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: Nol Red | Statement: [Nol Red Ticket, abbreviation, Nol Red]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nol Red
Context triple: [Nol Red Ticket, abbreviation, Nol Red]
  • A. Rolph
    Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
  • B. 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.
  • C. Nelion
    Nelion is one of the main twin summits of Mount Kenya, renowned among climbers for its challenging rock routes and high-altitude alpine terrain.
  • D. نول
    نول هي بطاقة ذكية تستخدم كوسيلة دفع إلكترونية في وسائل النقل العام والبنية التحتية المرتبطة بها في إمارة دبي.
  • E. Neyo
    Ne-Yo is an American R&B singer, songwriter, and record producer known for hits like "So Sick" and "Closer" and for writing songs for numerous major artists.
  • 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: Nol Red
Triple: [Nol Red Ticket, abbreviation, Nol Red]
Generated description
Nol Red is a type of Nol transit card used for public transportation in Dubai, typically intended for occasional or short-term travelers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nol Red
Target entity description: Nol Red is a type of Nol transit card used for public transportation in Dubai, typically intended for occasional or short-term travelers.
  • A. Rolph
    Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
  • B. 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.
  • C. Nelion
    Nelion is one of the main twin summits of Mount Kenya, renowned among climbers for its challenging rock routes and high-altitude alpine terrain.
  • D. نول chosen
    نول هي بطاقة ذكية تستخدم كوسيلة دفع إلكترونية في وسائل النقل العام والبنية التحتية المرتبطة بها في إمارة دبي.
  • E. Neyo
    Ne-Yo is an American R&B singer, songwriter, and record producer known for hits like "So Sick" and "Closer" and for writing songs for numerous major artists.
  • F. None of above.

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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351ab03488190a8900de98fb4a00e completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4fdee688190806edebd05a23570 completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5e5e96aac819093c43dc355de4509 completed March 14, 2026, 10:49 p.m.
NED2 Entity disambiguation (via description) batch_69b5e6587be88190884f61a7350ce5a9 completed March 14, 2026, 10:51 p.m.
Created at: March 12, 2026, 11:15 p.m.