Triple

T26142256
Position Surface form Disambiguated ID Type / Status
Subject Süleyman E659548 entity
Predicate equivalentNameInArabicScript P125165 FINISHED
Object سليمان
سليمان هو اسم علم عربي شائع يُستخدم للذكور، وله جذور دينية وتاريخية بارزة في الثقافات الإسلامية واليهودية والمسيحية.
 E1210946 NE FINISHED

How this triple was built (3 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: سليمان | Statement: [Süleyman, equivalentNameInArabicScript, سليمان]
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: سليمان
Triple: [Süleyman, equivalentNameInArabicScript, سليمان]
Generated description
سليمان هو اسم علم عربي شائع يُستخدم للذكور، وله جذور دينية وتاريخية بارزة في الثقافات الإسلامية واليهودية والمسيحية.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: equivalentNameInArabicScript
Context triple: [Süleyman, equivalentNameInArabicScript, سليمان]
  • A. hasNameInArabic
    Indicates that an entity is associated with a specific name expressed in the Arabic language.
  • B. correspondsToInArabic chosen
    Indicates that one entity is the equivalent or matching counterpart of another entity specifically in the Arabic language.
  • C. hasGivenNameFormInArabic
    Indicates that an entity has a specific given-name form expressed in the Arabic language.
  • D. nameInAramaic
    Indicates that an entity has a specific name expressed in the Aramaic language.
  • E. transliterationName
    Indicates that one entity is the transliterated form of another entity’s name from one writing system into another.
  • F. None of above.

Provenance (6 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_69ee5bc496a88190af7deb7ab5e081de completed April 26, 2026, 6:39 p.m.
NER Named-entity recognition batch_69f62d89b89c8190afb372a8172111e7 completed May 2, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11276b010481909f8911733d49f613 completed May 23, 2026, 4:04 a.m.
NEDg Description generation batch_6a114a9956d081909186eb0e116f1644 completed May 23, 2026, 6:35 a.m.
NED2 Entity disambiguation (via description) batch_6a114b3da41481908fede75cc82bdf99 completed May 23, 2026, 6:37 a.m.
PD Predicate disambiguation batch_69f62c1379f08190836c3e02b0c892df completed May 2, 2026, 4:53 p.m.
Created at: April 26, 2026, 8:20 p.m.