Triple

T10891964
Position Surface form Disambiguated ID Type / Status
Subject Qaf E257198 entity
Predicate hasEnglishName P3437 FINISHED
Object Qaf E257198 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: Qaf | Statement: [Qaf, hasEnglishName, Qaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qaf
Context triple: [Qaf, hasEnglishName, Qaf]
  • A. Qaf chosen
    Qaf is the 50th chapter of the Qur'an, known for its powerful themes of resurrection, accountability, and the Day of Judgment.
  • B. Zayin
    Zayin is the seventh letter of the Hebrew alphabet, traditionally associated with the "z" sound and rich symbolic meanings in Jewish mysticism and scripture.
  • C. Qafar
    Qafar is another name for the Afar people, a Cushitic ethnic group primarily inhabiting the Horn of Africa, especially in Ethiopia, Eritrea, and Djibouti.
  • D. Gimel
    Gimel is the third letter of the Hebrew alphabet, traditionally associated with the "g" sound and rich symbolic meanings in Jewish mysticism and tradition.
  • E. Lamed
    Lamed is the twelfth letter of the Hebrew alphabet, corresponding to the "L" sound and often associated with learning and teaching in Jewish tradition.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75206354881908b148f2df3938513 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1550d6b4081909483c5dfa6e85671 completed April 16, 2026, 9:30 p.m.
Created at: April 8, 2026, 9:21 p.m.