Triple

T3812069
Position Surface form Disambiguated ID Type / Status
Subject Omar E93158 entity
Predicate variantForm P4680 FINISHED
Object Umar E40518 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: Umar | Statement: [Omar, variantForm, Umar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umar
Context triple: [Omar, variantForm, Umar]
  • A. Umar ibn Abi Salama
    Umar ibn Abi Salama was a young Companion of the Prophet Muhammad and the stepson of the Prophet through his mother, Umm Salama.
  • B. Umar ibn al-Khattab chosen
    Umar ibn al-Khattab was the second caliph of Islam and a close companion of the Prophet Muhammad, renowned for his just governance and major role in the early expansion of the Muslim state.
  • C. Umar ibn Saʿd
    Umar ibn Saʿd was an Umayyad military leader best known for leading the forces that killed Husayn ibn Ali at the Battle of Karbala in 680 CE.
  • D. Umara ibn Hamza
    Umara ibn Hamza was an early Islamic figure known primarily as a descendant of the Prophet Muhammad’s uncle Hamza ibn Abd al-Muttalib.
  • E. Abu Ubayda
    Abu Ubayda was an early Arab philologist and scholar of language and poetry, renowned for his contributions to classical Arabic grammar and literary criticism.
  • 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee8db8a288190afd1e3b9dcf02e97 completed March 9, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb3a69908190ba8e7ac37c8ca0f8 completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:16 p.m.