Triple

T832429
Position Surface form Disambiguated ID Type / Status
Subject Dubai Bus E17993 entity
Predicate paymentAccepted P5428 FINISHED
Object Nol Red Ticket
Nol Red Ticket is a disposable, low-cost public transport card used by visitors and occasional riders to pay fares across Dubai’s metro, bus, and other RTA services.
 E98044 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 Ticket | Statement: [Dubai Bus, paymentAccepted, Nol Red Ticket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nol Red Ticket
Context triple: [Dubai Bus, paymentAccepted, Nol Red Ticket]
  • A. The Big Ticket
    The Big Ticket is the famous nickname of NBA Hall of Famer Kevin Garnett, known for his intense competitiveness and all-around dominance on the basketball court.
  • B. CharlieTicket
    CharlieTicket is a reusable paper smart card used for paying fares on Boston’s MBTA public transit system.
  • C. La Rampa
    La Rampa is a famous, bustling avenue in Havana’s Vedado district known for its mid-20th-century architecture, nightlife, and cultural landmarks.
  • D. Men in Red
    Men in Red is a popular nickname for Chicago Fire FC, the Major League Soccer club based in Chicago.
  • E. Tarifit
    Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • 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 Ticket
Triple: [Dubai Bus, paymentAccepted, Nol Red Ticket]
Generated description
Nol Red Ticket is a disposable, low-cost public transport card used by visitors and occasional riders to pay fares across Dubai’s metro, bus, and other RTA services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nol Red Ticket
Target entity description: Nol Red Ticket is a disposable, low-cost public transport card used by visitors and occasional riders to pay fares across Dubai’s metro, bus, and other RTA services.
  • A. The Big Ticket
    The Big Ticket is the famous nickname of NBA Hall of Famer Kevin Garnett, known for his intense competitiveness and all-around dominance on the basketball court.
  • B. CharlieTicket
    CharlieTicket is a reusable paper smart card used for paying fares on Boston’s MBTA public transit system.
  • C. La Rampa
    La Rampa is a famous, bustling avenue in Havana’s Vedado district known for its mid-20th-century architecture, nightlife, and cultural landmarks.
  • D. Men in Red
    Men in Red is a popular nickname for Chicago Fire FC, the Major League Soccer club based in Chicago.
  • E. Tarifit
    Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abb647988190950e1790bcfa60a5 completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d9991488190808adb29d3ad6273 completed March 3, 2026, 11:24 p.m.
NEDg Description generation batch_69a7799f87f08190ad393ce92c938030 completed March 4, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69a77a2ef9d08190abc60490b4409d79 completed March 4, 2026, 12:17 a.m.
Created at: March 1, 2026, 7:38 p.m.