Triple

T1836440
Position Surface form Disambiguated ID Type / Status
Subject Riyadh Province E41077 entity
Predicate contains P35 FINISHED
Object As Sulayyil E207208 NE FINISHED

How this triple was built (2 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: As Sulayyil | Statement: [Riyadh Province, contains, As Sulayyil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: As Sulayyil
Context triple: [Riyadh Province, contains, As Sulayyil]
  • A. 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.
  • B. Al-Malik
    Al-Malik is one of the names of Allah in Islam, signifying Him as the absolute Sovereign and King over all creation.
  • C. Al-Hareeq chosen
    Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
  • D. Harun
    Harun is the Islamic prophet Aaron, brother of Moses, revered for his prophethood and leadership among the Israelites.
  • E. Sultan
    The Sultan was the supreme monarch of the Ottoman Empire, wielding ultimate political, military, and religious authority over its vast territories.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69addf45fcd08190a82a4057470eb3ee completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:33 p.m.