Triple

T22433055
Position Surface form Disambiguated ID Type / Status
Subject Adil E554544 entity
Predicate hasFeminineForm P1613 FINISHED
Object Adila NE NERFINISHED

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: Adila | Statement: [Adil, hasFeminineForm, Adila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adila
Context triple: [Adil, hasFeminineForm, Adila]
  • A. Anila
    Anila is a name and epithet of the Hindu wind god Vayu, representing the personification of air and life-breath.
  • B. Juwayriya
    Juwayriya was a wife of the Prophet Muhammad and is regarded as one of the Mothers of the Believers in Islamic tradition.
  • C. Sajida chosen
    Sajida is an Arabic feminine given name commonly used in the Middle East and among Muslim communities worldwide.
  • D. Fahdah
    Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
  • E. Sumayya
    Sumayya was an early convert to Islam and is widely regarded as the first female martyr in Islamic history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a3320448190ae3931062599116e completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.