Triple

T2514484
Position Surface form Disambiguated ID Type / Status
Subject Ibrahim E52779 entity
Predicate marriedTo P13 FINISHED
Object Hajar 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: Hajar | Statement: [Ibrahim, marriedTo, Hajar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hajar
Context triple: [Ibrahim, marriedTo, Hajar]
  • 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. Rawdah
    Rawdah is the revered area between the Prophet Muhammad’s tomb and his pulpit in Al-Masjid an-Nabawi in Medina, considered one of the holiest sites in Islam.
  • D. 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.
  • E. Shawiya
    Shawiya refers to an Amazigh (Berber) ethnic group and their Zenati Berber language spoken primarily in the Aurès Mountains of northeastern Algeria.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd20c8ab0819096d6a654039beb39 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b975e6881909b70a1795e8e2776 completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.