Triple

T6344111
Position Surface form Disambiguated ID Type / Status
Subject QueenOfSheba E142701 entity
Predicate quranicName P6450 FINISHED
Object Bilqis
Bilqis is the traditional name, especially in Islamic tradition, for the Queen of Sheba, a legendary monarch known for her wisdom and encounter with the prophet-king Solomon.
 E595790 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: Bilqis | Statement: [QueenOfSheba, quranicName, Bilqis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bilqis
Context triple: [QueenOfSheba, quranicName, Bilqis]
  • A. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • B. Sharifa
    Sharifa is an honorific title used in Islamic tradition for a noblewoman descended from the Prophet Muhammad.
  • C. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • D. Aisha
    Aisha is a central female protagonist in Naguib Mahfouz’s novel "Palace Walk," representing the complexities of family life and social change in early 20th-century Cairo.
  • E. Aisha
    Aisha is a skilled and enigmatic operative who joins the elite black-ops team in the action film "The Losers" (2010).
  • 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: Bilqis
Triple: [QueenOfSheba, quranicName, Bilqis]
Generated description
Bilqis is the traditional name, especially in Islamic tradition, for the Queen of Sheba, a legendary monarch known for her wisdom and encounter with the prophet-king Solomon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bilqis
Target entity description: Bilqis is the traditional name, especially in Islamic tradition, for the Queen of Sheba, a legendary monarch known for her wisdom and encounter with the prophet-king Solomon.
  • A. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • B. Sharifa
    Sharifa is an honorific title used in Islamic tradition for a noblewoman descended from the Prophet Muhammad.
  • C. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • D. Aisha
    Aisha is a central female protagonist in Naguib Mahfouz’s novel "Palace Walk," representing the complexities of family life and social change in early 20th-century Cairo.
  • E. Aisha
    Aisha is a singer who performed one of the official songs for the 2022 FIFA World Cup.
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0674702d08190806ef0998960b797 completed March 22, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65381ab8081908293225471062f28 completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c6542f23548190a0905c0e2c7341f6 completed March 27, 2026, 9:55 a.m.
NED2 Entity disambiguation (via description) batch_69c654918d9881909f3886ec52a7b00b completed March 27, 2026, 9:57 a.m.
Created at: March 22, 2026, 4:31 p.m.