Triple

T2283530
Position Surface form Disambiguated ID Type / Status
Subject Hagar E51333 entity
Predicate nameVariant P744 FINISHED
Object Hājar E172357 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: Hājar | Statement: [Hagar, nameVariant, Hājar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hājar
Context triple: [Hagar, nameVariant, Hājar]
  • A. Hajar chosen
    Hajar is a revered figure in Islamic tradition, known as the wife of Prophet Ibrahim (Abraham) and the mother of Prophet Isma'il (Ishmael), whose faith and perseverance are commemorated in the rituals of Hajj.
  • B. Sa el-Hagar
    Sa el-Hagar is a modern Egyptian village located at the site of the ancient city of Sais in the Nile Delta.
  • C. Marwa
    Marwa is one of the two small hills in Mecca that Muslims traverse between during the ritual of Sa'i in the Hajj and Umrah pilgrimages.
  • D. Nabawiyya
    Nabawiyya is a character in Naguib Mahfouz’s novel "The Thief and the Dogs," known primarily as the unfaithful wife whose betrayal deeply impacts the protagonist, Said Mahran.
  • E. Buraydah
    Buraydah is a major city in central Saudi Arabia and the capital of Al-Qassim Region, known as an important agricultural and commercial center.
  • 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc2445f388190af643878145f8249 completed March 7, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f14b98481908c047bc52da3aa2e completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:48 p.m.