Triple

T1205849
Position Surface form Disambiguated ID Type / Status
Subject Al-Khalil E25885 entity
Predicate label P38 FINISHED
Object Al-Khalil E25885 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: Al-Khalil | Statement: [Al-Khalil, label, Al-Khalil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Khalil
Context triple: [Al-Khalil, label, Al-Khalil]
  • A. Al-Khalil chosen
    Al-Khalil is the Arabic name for the city of Hebron in the West Bank, a historically significant and religiously important city revered in Islam, Judaism, and Christianity.
  • B. Sibawayh
    Sibawayh was an 8th-century Persian scholar whose foundational treatise on Arabic grammar, al-Kitāb, established the systematic study and rules of Classical Arabic.
  • C. Ibn Muqla
    Ibn Muqla was a 10th-century Abbasid vizier and master calligrapher renowned for codifying the proportional rules that shaped classical Arabic scripts, especially Naskh.
  • D. Ibn al-Bawwab
    Ibn al-Bawwab was an influential 10th–11th century Persian calligrapher renowned for refining and codifying classical Arabic scripts, particularly in Qur’anic manuscripts.
  • E. Saadi
    Saadi was a renowned 13th-century Persian poet and prose writer best known for his moralistic and philosophical works such as "Bustan" and "Gulistan."
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdc314c88190b1b5953834bfce7b completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacaf11588190b0bbc1d280bf9a78 completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:46 p.m.