Triple

T1324411
Position Surface form Disambiguated ID Type / Status
Subject al-Safa E28291 entity
Predicate associatedWithFigure P1183 FINISHED
Object Hajar (Hagar) E51333 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: Hajar (Hagar) | Statement: [al-Safa, associatedWithFigure, Hajar (Hagar)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hajar (Hagar)
Context triple: [al-Safa, associatedWithFigure, Hajar (Hagar)]
  • A. Hagar chosen
    Hagar is a biblical figure known as the Egyptian servant of Sarah who bore Abraham’s son Ishmael and is revered in Jewish, Christian, and Islamic traditions.
  • 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. Khadija
    Khadija is a central female character in Naguib Mahfouz’s novel "Palace of Desire," known for her strong will, evolving maturity, and role within the complex dynamics of the Abd al-Jawad family.
  • D. Rebekah
    Rebekah is a feminine given name, traditionally associated with the biblical matriarch Rebecca and used in various English-speaking cultures.
  • E. 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.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19e81c0819092f85201ae34422a completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc62764d88190b7d1fca10835f560 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:55 p.m.