Triple

T10187390
Position Surface form Disambiguated ID Type / Status
Subject Khalifa E236945 entity
Predicate transliterationVariant P5923 FINISHED
Object Califa
Califa is an alternative transliteration of the Arabic title "Khalifa," commonly referring to a caliph or Islamic leader.
E847951 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: Califa | Statement: [Khalifa, transliterationVariant, Califa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Califa
Context triple: [Khalifa, transliterationVariant, Califa]
  • A. Al-Qa'im
    Al-Qa'im is a town in western Iraq near the Syrian border, known for its strategic location along the Euphrates River and its role in regional trade and conflict.
  • B. Sulṭán
    Sulṭán is the fourth month of the Baháʼí Badíʻ calendar, whose name signifies "sovereignty" or "dominion."
  • C. Rukn al-Dawla
    Rukn al-Dawla was a prominent 10th-century Buyid ruler who consolidated Buyid power in western Iran and played a key role in the dynasty’s political ascendancy.
  • D. Mansur
    Mansur is an Arabic male given name meaning "victorious" or "one who is granted victory," commonly used across the Muslim world in various transliterated forms.
  • E. Dar al-Bey
    Dar al-Bey is a historic palace in the medina of Tunis that served as the ceremonial and administrative seat of the Beys who ruled Tunisia.
  • 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: Califa
Triple: [Khalifa, transliterationVariant, Califa]
Generated description
Califa is an alternative transliteration of the Arabic title "Khalifa," commonly referring to a caliph or Islamic leader.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Califa
Target entity description: Califa is an alternative transliteration of the Arabic title "Khalifa," commonly referring to a caliph or Islamic leader.
  • A. Al-Qa'im
    Al-Qa'im is a town in western Iraq near the Syrian border, known for its strategic location along the Euphrates River and its role in regional trade and conflict.
  • B. Sulṭán
    Sulṭán is the fourth month of the Baháʼí Badíʻ calendar, whose name signifies "sovereignty" or "dominion."
  • C. Rukn al-Dawla
    Rukn al-Dawla was a prominent 10th-century Buyid ruler who consolidated Buyid power in western Iran and played a key role in the dynasty’s political ascendancy.
  • D. Mansur
    Mansur is an Arabic male given name meaning "victorious" or "one who is granted victory," commonly used across the Muslim world in various transliterated forms.
  • E. Dar al-Bey
    Dar al-Bey is a historic palace in the medina of Tunis that served as the ceremonial and administrative seat of the Beys who ruled Tunisia.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded7a7aac8190af8dcb8374e62d68 completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32ad838b08190ab8c50a4108bba68 completed April 6, 2026, 3:39 a.m.
NEDg Description generation batch_69d32c50f34881909e33acb0e4d9342e completed April 6, 2026, 3:45 a.m.
NED2 Entity disambiguation (via description) batch_69d32cc129ec81909ca30c9475547a62 completed April 6, 2026, 3:47 a.m.
Created at: March 30, 2026, 9:12 p.m.