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.