Triple

T8641026
Position Surface form Disambiguated ID Type / Status
Subject Sheikha E204646 entity
Predicate transliterationVariant P5923 FINISHED
Object Shaikha E204646 NE FINISHED

How this triple was built (2 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: Shaikha | Statement: [Sheikha, transliterationVariant, Shaikha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaikha
Context triple: [Sheikha, transliterationVariant, Shaikha]
  • A. Sheikha chosen
    Sheikha is an honorific title used for female members of royal families or women of high social and political status in Arab and Islamic societies.
  • B. Sharifa
    Sharifa is an honorific title used in Islamic tradition for a noblewoman descended from the Prophet Muhammad.
  • C. Mudassir Sheikha
    Mudassir Sheikha is a Pakistani entrepreneur best known as the co-founder and CEO of Careem, a leading ride-hailing and technology platform in the Middle East.
  • D. 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.
  • E. Fahdah
    Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47944d1c819081f448f14d04bf9d completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc3b1f508190978df29d995f494c completed April 2, 2026, 6:58 p.m.
Created at: March 30, 2026, 6:28 p.m.