Triple

T7129799
Position Surface form Disambiguated ID Type / Status
Subject Entissar E166156 entity
Predicate hasVariantSpelling P457 FINISHED
Object Intissar
Intissar is an Arabic given name, commonly used for women, that means "victory" or "triumph."
 E646461 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: Intissar | Statement: [Entissar, hasVariantSpelling, Intissar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Intissar
Context triple: [Entissar, hasVariantSpelling, Intissar]
  • A. Taliouine
    Taliouine is a small town in southern Morocco renowned as one of the country’s main saffron-producing centers and a gateway to the Jbel Sirwa region.
  • B. Marwa
    Marwa is one of the two small hills in Mecca that Muslims traverse between during the ritual of Sa'i in the Hajj and Umrah pilgrimages.
  • C. Mimoun
    Mimoun is a surname most notably associated with Alain Mimoun, the French long-distance runner and Olympic marathon champion.
  • D. Mansourr
    Mansourr is an alternative spelling of the Arabic given name and surname "Mansour," which is commonly used across the Middle East and North Africa.
  • E. Skhirat
    Skhirat is a coastal town in western Morocco known for hosting key international political negotiations and agreements.
  • 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: Intissar
Triple: [Entissar, hasVariantSpelling, Intissar]
Generated description
Intissar is an Arabic given name, commonly used for women, that means "victory" or "triumph."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Intissar
Target entity description: Intissar is an Arabic given name, commonly used for women, that means "victory" or "triumph."
  • A. Taliouine
    Taliouine is a small town in southern Morocco renowned as one of the country’s main saffron-producing centers and a gateway to the Jbel Sirwa region.
  • B. Marwa
    Marwa is one of the two small hills in Mecca that Muslims traverse between during the ritual of Sa'i in the Hajj and Umrah pilgrimages.
  • C. Mimoun
    Mimoun is a surname most notably associated with Alain Mimoun, the French long-distance runner and Olympic marathon champion.
  • D. Mansourr
    Mansourr is an alternative spelling of the Arabic given name and surname "Mansour," which is commonly used across the Middle East and North Africa.
  • E. Skhirat
    Skhirat is a coastal town in western Morocco known for hosting key international political negotiations and agreements.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66c87848190b0ffd08e3c3f4877 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8e0a06c819091b47dd41acb47b7 completed March 28, 2026, 11:17 a.m.
NEDg Description generation batch_69c7b97893308190b349afb452d4e154 completed March 28, 2026, 11:20 a.m.
NED2 Entity disambiguation (via description) batch_69c7b9f805b88190866170fdd8ce07ff completed March 28, 2026, 11:22 a.m.
Created at: March 27, 2026, 2:44 p.m.