Triple

T10174393
Position Surface form Disambiguated ID Type / Status
Subject Prophet Zakariya E235813 entity
Predicate nameVariant P744 FINISHED
Object Zakariya E319554 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: Zakariya | Statement: [Prophet Zakariya, nameVariant, Zakariya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zakariya
Context triple: [Prophet Zakariya, nameVariant, Zakariya]
  • A. Zakariya chosen
    Zakariya is a revered prophet in Islamic and Christian traditions, known as the father of Prophet Yahya (John the Baptist).
  • B. Ishaq
    Ishaq is the Arabic form of the biblical name Isaac, commonly used in Muslim and Arabic-speaking communities.
  • C. Qasim
    Qasim is a central character in Naguib Mahfouz’s novel "Children of Gebelawi," representing a modern, socially conscious figure modeled on the Prophet Muhammad within the book’s allegorical retelling of religious history.
  • D. Harun
    Harun is the Islamic prophet Aaron, brother of Moses, revered for his prophethood and leadership among the Israelites.
  • E. Zakariyya al-Ansari
    Zakariyya al-Ansari was a prominent 15th-century Egyptian Shafi'i jurist, hadith scholar, and Sufi master who became one of the leading religious authorities of the late Mamluk period.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdeca0dc508190916f2a1bbb288192 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3011742b48190bc8b8b6ba03c32b0 completed April 6, 2026, 12:40 a.m.
Created at: March 30, 2026, 9:11 p.m.