Triple

T18994143
Position Surface form Disambiguated ID Type / Status
Subject Nuri al-Said E464762 entity
Predicate givenName P17 FINISHED
Object Nuri
Nuri is a masculine given name of Arabic origin, commonly used in the Middle East and surrounding regions.
E1354127 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: Nuri | Statement: [Nuri al-Said, givenName, Nuri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuri
Context triple: [Nuri al-Said, givenName, Nuri]
  • A. Nuri
    Nuri is an ancient archaeological site in northern Sudan that served as a royal necropolis for Nubian kings and queens, featuring a significant concentration of Kushite pyramids.
  • B. Nuri
    Nuri is South Korea’s domestically developed three-stage orbital launch vehicle designed to place satellites into low Earth orbit.
  • C. Kadir
    Kadir is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
  • D. Kadiria
    Kadiria is a town and commune located within Bouira Province in northern Algeria.
  • E. Nilüfer
    Nilüfer is a modern district and rapidly developing residential and commercial area within the city of Bursa in northwestern Turkey.
  • 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: Nuri
Triple: [Nuri al-Said, givenName, Nuri]
Generated description
Nuri is a masculine given name of Arabic origin, commonly used in the Middle East and surrounding regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nuri
Target entity description: Nuri is a masculine given name of Arabic origin, commonly used in the Middle East and surrounding regions.
  • A. Nuri
    Nuri is an ancient archaeological site in northern Sudan that served as a royal necropolis for Nubian kings and queens, featuring a significant concentration of Kushite pyramids.
  • B. Nuri
    Nuri is South Korea’s domestically developed three-stage orbital launch vehicle designed to place satellites into low Earth orbit.
  • C. Kadir
    Kadir is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
  • D. Kadiria
    Kadiria is a town and commune located within Bouira Province in northern Algeria.
  • E. Nilüfer
    Nilüfer is a modern district and rapidly developing residential and commercial area within the city of Bursa in northwestern Turkey.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d67fc90081908f51668620fdc60a completed April 20, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05b45789e881909a0e48dd9a69b865 completed May 14, 2026, 11:39 a.m.
NEDg Description generation batch_6a05b6f608808190a95a95cba31fe871 completed May 14, 2026, 11:50 a.m.
NED2 Entity disambiguation (via description) batch_6a05bad7b3d48190b18cd2b2561cfcc2 completed May 14, 2026, 12:06 p.m.
Created at: April 10, 2026, 12:01 p.m.