Triple

T14777911
Position Surface form Disambiguated ID Type / Status
Subject Al-Bayyinah E347310 entity
Predicate precedesSurah P30311 FINISHED
Object Az-Zalzalah E349030 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: Az-Zalzalah | Statement: [Al-Bayyinah, precedesSurah, Az-Zalzalah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Az-Zalzalah
Context triple: [Al-Bayyinah, precedesSurah, Az-Zalzalah]
  • A. Az-Zalzalah chosen
    Az-Zalzalah is the 99th chapter of the Qur’an, known for its vivid depiction of the earthquake and upheaval of the Day of Judgment.
  • B. As-Sa'iqa
    As-Sa'iqa is a Syrian-controlled Palestinian Ba'athist militant and political faction that operates within the broader Palestinian national movement.
  • C. Al-Zaem
    Al-Zaem is an Arabic honorific term meaning "the leader" or "the chief," often used as a title or nickname for prominent political or public figures.
  • D. Daura
    Daura is a historic town in Katsina State, northern Nigeria, regarded as a cultural center of the Hausa people and known as the hometown of former president Muhammadu Buhari.
  • E. El Quseyya
    El Quseyya is a city in Upper Egypt situated along the Nile within the Asyut Governorate.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec817c39081909b08a0ffdfce9936 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cff0474819092e8447f2f13cf59 completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:31 a.m.