Triple

T36561586
Position Surface form Disambiguated ID Type / Status
Subject سلطان المغرب E901851 entity
Predicate من_أشهر_من_حمل_اللقب P160008 FINISHED
Object مولاي الحسن الأول
مولاي الحسن الأول هو سلطان مغربي من أواخر القرن التاسع عشر عُرف بإصلاحاته الإدارية والعسكرية ومساعيه للحفاظ على استقلال المغرب في مواجهة الضغوط الاستعمارية الأوروبية.
 E2188635 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: مولاي الحسن الأول | Statement: [سلطان المغرب, من_أشهر_من_حمل_اللقب, مولاي الحسن الأول]
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: مولاي الحسن الأول
Triple: [سلطان المغرب, من_أشهر_من_حمل_اللقب, مولاي الحسن الأول]
Generated description
مولاي الحسن الأول هو سلطان مغربي من أواخر القرن التاسع عشر عُرف بإصلاحاته الإدارية والعسكرية ومساعيه للحفاظ على استقلال المغرب في مواجهة الضغوط الاستعمارية الأوروبية.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: من_أشهر_من_حمل_اللقب
Context triple: [سلطان المغرب, من_أشهر_من_حمل_اللقب, مولاي الحسن الأول]
  • A. أولمنحملاللقب
    Indicates that the subject is the first entity ever to hold or bear the specified title.
  • B. أشهر الألقاب chosen
    Indicates that one or more entities are the most famous or widely known by certain nicknames or titles.
  • C. occursInMonthNamedAfter
    Indicates that an event or action takes place during a month whose name matches a specified month name.
  • D. namedDuring
    Indicates that an entity received its name during a specified time period or event.
  • E. namedAfterBirthYear
    Indicates that one entity is named based on, or in reference to, the birth year of another entity.
  • 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_69f76e634e9481908c9ba1b87ab87c26 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39e6f41f188190927892b7759a0efa completed June 23, 2026, 1:52 a.m.
NEDg Description generation batch_6a39e84eb7c881909d0c68c0dbbaddb8 completed June 23, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_6a39ead0e6588190bcc077c11b7b049a completed June 23, 2026, 2:09 a.m.
PD Predicate disambiguation batch_69f7c1baf25c8190a78dd54a400d2c50 completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:11 p.m.