Triple

T7096597
Position Surface form Disambiguated ID Type / Status
Subject Sahabiyyah E165344 entity
Predicate isFemaleCounterpartOf P1613 FINISHED
Object Sahabi E214769 NE FINISHED

How this triple was built (3 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: Sahabi | Statement: [Sahabiyyah, isFemaleCounterpartOf, Sahabi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sahabi
Context triple: [Sahabiyyah, isFemaleCounterpartOf, Sahabi]
  • A. Sahaba chosen
    The Sahaba are the companions of the Prophet Muhammad, revered in Islam as his closest followers and the earliest Muslims who transmitted his teachings.
  • B. Sahabiyyah
    A Sahabiyyah is a female companion of the Prophet Muhammad recognized in Islamic tradition for her faith, closeness to him, and role in the early Muslim community.
  • C. Al-Shuyukh
    Al-Shuyukh is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • D. Hammad
    Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
  • E. Umara
    Umara is the plural form of the Arabic name or title "Amir," commonly used to refer to multiple rulers or princes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isFemaleCounterpartOf
Context triple: [Sahabiyyah, isFemaleCounterpartOf, Sahabi]
  • A. hasFemaleEquivalent chosen
    Indicates that one entity serves as the female counterpart or equivalent of another entity.
  • B. maleEquivalent
    Indicates that one entity is the corresponding male counterpart or equivalent of another entity.
  • C. genderOfEponym
    Indicates the gender of the person after whom something (such as a place, object, or concept) is named.
  • D. hasGenderVariant
    Indicates that one entity is a gender-specific form or variant of another entity.
  • E. hasNeutralPronoun
    Indicates that an entity is referred to using a gender-neutral pronoun.
  • F. None of above.

Provenance (4 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_69c6887e8c10819091cee237560d32da completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e554d9f081909443be54eb501d25 completed March 27, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c9e4efc8190acb011a0bd1f120f completed March 28, 2026, 9:17 a.m.
PD Predicate disambiguation batch_69c6e1c313e481908b61a23fc89f9332 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:41 p.m.