Triple

T1836438
Position Surface form Disambiguated ID Type / Status
Subject Riyadh Province E41077 entity
Predicate contains P35 FINISHED
Object Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
E207208 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: Al-Hareeq | Statement: [Riyadh Province, contains, Al-Hareeq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Hareeq
Context triple: [Riyadh Province, contains, Al-Hareeq]
  • A. Ishaq
    Ishaq is the Arabic form of the biblical name Isaac, commonly used in Muslim and Arabic-speaking communities.
  • B. Al-Wahid
    Al-Wahid is one of the names of God in Islamic theology, emphasizing His absolute oneness and uniqueness as the sole divine being.
  • C. As-Samad
    As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
  • D. Sahnun
    Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
  • E. al-Bahuti
    Al-Bahuti was a prominent 16th–17th century Hanbali jurist and legal theorist whose works became standard references in later Hanbali jurisprudence.
  • 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: Al-Hareeq
Triple: [Riyadh Province, contains, Al-Hareeq]
Generated description
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Al-Hareeq
Target entity description: Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
  • A. Ishaq
    Ishaq is the Arabic form of the biblical name Isaac, commonly used in Muslim and Arabic-speaking communities.
  • B. Al-Wahid
    Al-Wahid is one of the names of God in Islamic theology, emphasizing His absolute oneness and uniqueness as the sole divine being.
  • C. As-Samad
    As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
  • D. Sahnun
    Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
  • E. al-Bahuti
    Al-Bahuti was a prominent 16th–17th century Hanbali jurist and legal theorist whose works became standard references in later Hanbali jurisprudence.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb028226481908558c11449e1d6b6 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1c23f9c81909b7d524448351060 completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add246f1a88190b3e14d1e45f5d433 completed March 8, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69add2afe284819083723ccaa2219222 completed March 8, 2026, 7:49 p.m.
Created at: March 4, 2026, 7:33 p.m.