Triple

T1533578
Position Surface form Disambiguated ID Type / Status
Subject Ruqayyah bint Muhammad E32499 entity
Predicate maritalStatusWithUthman P5173 FINISHED
Object firstWifeOfUthmanIbnAffan LITERAL 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: firstWifeOfUthmanIbnAffan | Statement: [Ruqayyah bint Muhammad, maritalStatusWithUthman, firstWifeOfUthmanIbnAffan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maritalStatusWithUthman
Context triple: [Ruqayyah bint Muhammad, maritalStatusWithUthman, firstWifeOfUthmanIbnAffan]
  • A. marriageToMuhammadType
    Indicates a marital relationship in which the person is (or was) married to Muhammad, specifying that the marriage is to the individual identified as Muhammad.
  • B. spouseStatus chosen
    Indicates the marital relationship status between two individuals, such as whether they are currently spouses, formerly spouses, or not married to each other.
  • C. marital status
    Indicates the legal or social state of a person’s marriage-related relationship, such as being single, married, divorced, or widowed.
  • D. marriageToProphetOccurredIn
    Indicates that the marriage to the prophet took place in a specified location or context.
  • E. wasMarriedBeforeProphet
    Indicates that a person had been married at least once prior to the time of becoming a prophet.
  • F. None of above.

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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a915f323bc8190aa757142c225e0ae completed March 5, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69a907b046448190be8ea4d7b20255f7 completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.