Triple

T15662866
Position Surface form Disambiguated ID Type / Status
Subject Taifa of Almería E376608 entity
Predicate ruler P403 FINISHED
Object Khairan
Khairan was an 11th-century Andalusi leader who became a prominent taifa ruler in southeastern Iberia following the collapse of the Caliphate of Córdoba.
 E1169777 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: Khairan | Statement: [Taifa of Almería, ruler, Khairan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Khairan
Context triple: [Taifa of Almería, ruler, Khairan]
  • A. Khair
    Khair is a town in the Indian state of Uttar Pradesh, situated within the culturally significant Braj region associated with the legends of Lord Krishna.
  • B. Khudayar
    Khudayar is a male given name most notably associated with Khudayar Khan, a 19th-century ruler of the Khanate of Kokand in Central Asia.
  • C. Hasana
    Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
  • D. Hadiyya
    Hadiyya is a Cushitic language spoken primarily by the Hadiya people in southern Ethiopia.
  • E. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • 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: Khairan
Triple: [Taifa of Almería, ruler, Khairan]
Generated description
Khairan was an 11th-century Andalusi leader who became a prominent taifa ruler in southeastern Iberia following the collapse of the Caliphate of Córdoba.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Khairan
Target entity description: Khairan was an 11th-century Andalusi leader who became a prominent taifa ruler in southeastern Iberia following the collapse of the Caliphate of Córdoba.
  • A. Khair
    Khair is a town in the Indian state of Uttar Pradesh, situated within the culturally significant Braj region associated with the legends of Lord Krishna.
  • B. Khudayar
    Khudayar is a male given name most notably associated with Khudayar Khan, a 19th-century ruler of the Khanate of Kokand in Central Asia.
  • C. Hasana
    Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
  • D. Hadiyya
    Hadiyya is a Cushitic language spoken primarily by the Hadiya people in southern Ethiopia.
  • E. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0e2668819092e52712cddd0721 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679e0f2c8190bbcb7051c38e1580 completed May 9, 2026, 4:58 p.m.
NEDg Description generation batch_69ff68cfffd881908576c04e3eeb22a8 completed May 9, 2026, 5:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff69660b6c819082dbdf06db1c8fe3 completed May 9, 2026, 5:05 p.m.
Created at: April 10, 2026, 4:15 a.m.