Triple

T15183402
Position Surface form Disambiguated ID Type / Status
Subject سورة الكوثر E362805 entity
Predicate أقصر سورة في القرآن P6327 FINISHED
Object نعم LITERAL 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: نعم | Statement: [سورة الكوثر, أقصر سورة في القرآن, نعم]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: أقصر سورة في القرآن
Context triple: [سورة الكوثر, أقصر سورة في القرآن, نعم]
  • A. shortSurah
    Indicates that a surah (chapter) is considered short in length relative to other surahs.
  • B. isLongestSurahInQuran
    Indicates that the subject is the surah that has the greatest length (in verses) among all surahs in the Quran.
  • C. أول آية
    Indicates that something is the first verse of a text, typically within a chapter or surah.
  • D. shortestChapter chosen
    Indicates that one chapter is the shortest in length (e.g., by word count or pages) among a set of chapters.
  • E. subjectOfSurah
    Indicates that an entity is the main topic, theme, or focus discussed within a specific surah (chapter) of the Quran.
  • F. None of above.

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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006663ad48190986b680001be0e9b completed April 15, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69deb97bd8bc8190b2ad4888f97cf963 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:09 a.m.