Triple

T9559842
Position Surface form Disambiguated ID Type / Status
Subject Ad-Dukhan E230640 entity
Predicate hasArabicName P6450 FINISHED
Object الدخان E230641 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: الدخان | Statement: [Ad-Dukhan, hasArabicName, الدخان]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: الدخان
Context triple: [Ad-Dukhan, hasArabicName, الدخان]
  • A. The Smoke
    The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
  • B. The Smoke chosen
    The Smoke is the English name of Surah Ad-Dukhan, a chapter of the Qur’an that warns of a coming smoke as a sign of divine punishment and emphasizes God’s power and mercy.
  • C. The Smoke
    The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
  • D. Tütünler Islak
    Tütünler Islak is a renowned poetry collection by Turkish modernist poet Turgut Uyar, noted for its introspective and emotionally intense style.
  • E. Moth Smoke
    Moth Smoke is a novel by Pakistani author Mohsin Hamid that explores class disparity, corruption, and moral decay in contemporary Lahore through the downfall of a disillusioned banker.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd994bde0c8190afcba5cb8fa8b984 completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1529b4974819096e26153c60bf05c completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:03 p.m.