Triple

T13130669
Position Surface form Disambiguated ID Type / Status
Subject Imru' al-Qais E311959 entity
Predicate nameInArabic P6450 FINISHED
Object امرؤ القيس E311959 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: امرؤ القيس | Statement: [Imru' al-Qais, nameInArabic, امرؤ القيس]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: امرؤ القيس
Context triple: [Imru' al-Qais, nameInArabic, امرؤ القيس]
  • A. Imru' al-Qais chosen
    Imru' al-Qais was a pre-Islamic Arab poet and wandering prince renowned as one of the greatest authors of classical Arabic poetry and a central figure among the poets of the Mu'allaqat.
  • B. Al-Kisāʾī
    Al-Kisāʾī was a prominent early Arabic grammarian and Qurʾān reciter, renowned as one of the leading scholars of the Kufan linguistic tradition.
  • C. Bir al-Abd
    Bir al-Abd is a town in Egypt’s North Sinai region, known for its location along the Mediterranean coast and its role as a local administrative and commercial center.
  • D. Al-Ma'un
    Al-Ma'un is the 107th chapter of the Qur'an, known for condemning hypocrisy and neglect of orphans and the poor.
  • E. As-Sab‘ al-Mathani
    As-Sab‘ al-Mathani is an honorific title for Surah Al-Fatiha, highlighting its special status as a frequently recited, foundational chapter of the Qur’an.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819bfd348190a22d44f837877e1c completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e290c308819090ee4436c199b57c completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:07 p.m.