Triple

T10318034
Position Surface form Disambiguated ID Type / Status
Subject Şanlıurfa E242069 entity
Predicate historicalName P65 FINISHED
Object Al-Ruha
Al-Ruha is the historical Arabic name for the ancient city now known as Şanlıurfa in southeastern Turkey, a site revered for its deep religious and cultural significance.
E855142 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-Ruha | Statement: [Şanlıurfa, historicalName, Al-Ruha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Ruha
Context triple: [Şanlıurfa, historicalName, Al-Ruha]
  • A. Al-Hayy
    Al-Hayy is one of the 99 Names of Allah in Islam, signifying God as the Ever-Living whose existence is eternal and self-sustaining.
  • B. Dhul-Kifl
    Dhul-Kifl is a lesser-known prophet or righteous figure in Islamic tradition, briefly mentioned in the Qur’an and often associated with patience and steadfastness.
  • C. Muzdalifa
    Muzdalifa is an open plain near Mecca in Saudi Arabia where Muslim pilgrims gather, pray, and collect pebbles during the Hajj pilgrimage.
  • D. Mālaqa
    Mālaqa is the historical Arabic name for the Spanish coastal city of Málaga, reflecting its period under Muslim rule in Al-Andalus.
  • E. Jebrail
    Jebrail is a town in southwestern Azerbaijan that historically served as an administrative center in the Jabrayil District.
  • 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-Ruha
Triple: [Şanlıurfa, historicalName, Al-Ruha]
Generated description
Al-Ruha is the historical Arabic name for the ancient city now known as Şanlıurfa in southeastern Turkey, a site revered for its deep religious and cultural significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Al-Ruha
Target entity description: Al-Ruha is the historical Arabic name for the ancient city now known as Şanlıurfa in southeastern Turkey, a site revered for its deep religious and cultural significance.
  • A. Al-Hayy
    Al-Hayy is one of the 99 Names of Allah in Islam, signifying God as the Ever-Living whose existence is eternal and self-sustaining.
  • B. Dhul-Kifl
    Dhul-Kifl is a lesser-known prophet or righteous figure in Islamic tradition, briefly mentioned in the Qur’an and often associated with patience and steadfastness.
  • C. Muzdalifa
    Muzdalifa is an open plain near Mecca in Saudi Arabia where Muslim pilgrims gather, pray, and collect pebbles during the Hajj pilgrimage.
  • D. Mālaqa
    Mālaqa is the historical Arabic name for the Spanish coastal city of Málaga, reflecting its period under Muslim rule in Al-Andalus.
  • E. Jebrail
    Jebrail is a town in southwestern Azerbaijan that historically served as an administrative center in the Jabrayil District.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d35e019081909cc296d73227a3ed completed April 7, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d8de9488190ae003231dccd0c8f completed April 9, 2026, 3:31 a.m.
NEDg Description generation batch_69d7318755b881908e9ea4f1dfcf7da2 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d73285e0688190a98708477527bbee completed April 9, 2026, 5 a.m.
Created at: April 6, 2026, 11:49 a.m.