Triple

T2396863
Position Surface form Disambiguated ID Type / Status
Subject Al Bahah Region E47670 entity
Predicate containsCity P294 FINISHED
Object Al Qara
Al Qara is a town in southwestern Saudi Arabia located within the mountainous Al Bahah Region.
E263194 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 Qara | Statement: [Al Bahah Region, containsCity, Al Qara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Qara
Context triple: [Al Bahah Region, containsCity, Al Qara]
  • A. Qataban
    Qataban was an ancient South Arabian kingdom known for its incense trade and strategic position along key caravan routes in what is now Yemen.
  • B. Qardaha
    Qardaha is a town in northwestern Syria best known as the ancestral home of the Assad family, which has dominated the country’s political leadership for decades.
  • C. Jowhar
    Jowhar is a town in southern Somalia that serves as the capital of the Middle Shabelle region and an important agricultural and administrative center.
  • D. Darqawiyya
    Darqawiyya is a prominent Sufi order that emerged as a reformist branch within the Shadhili tradition, known for its emphasis on spiritual poverty, remembrance of God, and social engagement in 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: Al Qara
Triple: [Al Bahah Region, containsCity, Al Qara]
Generated description
Al Qara is a town in southwestern Saudi Arabia located within the mountainous Al Bahah Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Al Qara
Target entity description: Al Qara is a town in southwestern Saudi Arabia located within the mountainous Al Bahah Region.
  • A. Qataban
    Qataban was an ancient South Arabian kingdom known for its incense trade and strategic position along key caravan routes in what is now Yemen.
  • B. Qardaha
    Qardaha is a town in northwestern Syria best known as the ancestral home of the Assad family, which has dominated the country’s political leadership for decades.
  • C. Jowhar
    Jowhar is a town in southern Somalia that serves as the capital of the Middle Shabelle region and an important agricultural and administrative center.
  • D. Darqawiyya
    Darqawiyya is a prominent Sufi order that emerged as a reformist branch within the Shadhili tradition, known for its emphasis on spiritual poverty, remembrance of God, and social engagement in 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc8c4a8bc819086892a75caac0207 completed March 7, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3de3d548190b3eda939fa5f72b3 completed March 9, 2026, 11:49 a.m.
NEDg Description generation batch_69aeb4b83ec48190b2852daef0767ac8 completed March 9, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69aeb57f0e90819093b096955f9cc2b5 completed March 9, 2026, 11:56 a.m.
Created at: March 4, 2026, 7:57 p.m.