Triple

T1836436
Position Surface form Disambiguated ID Type / Status
Subject Riyadh Province E41077 entity
Predicate contains P35 FINISHED
Object Thadiq
Thadiq is a town in central Saudi Arabia known for its traditional architecture and location within the Riyadh administrative region.
 E210782 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: Thadiq | Statement: [Riyadh Province, contains, Thadiq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thadiq
Context triple: [Riyadh Province, contains, Thadiq]
  • A. Ilyas
    Ilyas is the Arabic and Quranic form of the prophet Elijah, revered in Islamic tradition as a righteous messenger of God.
  • B. Zafar
    Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
  • C. Mir Qasim
    Mir Qasim was the Nawab of Bengal in the mid-18th century, known for his resistance to British expansion in India and his defeat in the Battle of Buxar in 1764.
  • D. Rashid
    Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
  • E. Khurram
    Khurram, better known as the Mughal emperor Shah Jahan, was the ruler of the Mughal Empire famed for commissioning the Taj Mahal.
  • 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: Thadiq
Triple: [Riyadh Province, contains, Thadiq]
Generated description
Thadiq is a town in central Saudi Arabia known for its traditional architecture and location within the Riyadh administrative region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thadiq
Target entity description: Thadiq is a town in central Saudi Arabia known for its traditional architecture and location within the Riyadh administrative region.
  • A. Ilyas
    Ilyas is the Arabic and Quranic form of the prophet Elijah, revered in Islamic tradition as a righteous messenger of God.
  • B. Zafar
    Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
  • C. Mir Qasim
    Mir Qasim was the Nawab of Bengal in the mid-18th century, known for his resistance to British expansion in India and his defeat in the Battle of Buxar in 1764.
  • D. Rashid
    Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
  • E. Khurram
    Khurram, better known as the Mughal emperor Shah Jahan, was the ruler of the Mughal Empire famed for commissioning the Taj Mahal.
  • 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_69addf45fcd08190a82a4057470eb3ee completed March 8, 2026, 8:42 p.m.
NEDg Description generation batch_69ade34a51b88190937437a1856557c8 completed March 8, 2026, 8:59 p.m.
NED2 Entity disambiguation (via description) batch_69ade3e2625c81909df2b22ce4cbf3ff completed March 8, 2026, 9:02 p.m.
Created at: March 4, 2026, 7:33 p.m.