Triple

T9220220
Position Surface form Disambiguated ID Type / Status
Subject Kutub al-Sittah E221341 entity
Predicate hasPart P35 FINISHED
Object Sunan al-Nasa’i E45493 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: Sunan al-Nasa’i | Statement: [Kutub al-Sittah, hasPart, Sunan al-Nasa’i]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sunan al-Nasa’i
Context triple: [Kutub al-Sittah, hasPart, Sunan al-Nasa’i]
  • A. Sunan al-Nasa’i chosen
    Sunan al-Nasa’i is one of the six major Sunni hadith collections, compiled by the scholar Ahmad ibn Shu'ayb al-Nasa’i and renowned for its relative rigor in authenticating prophetic traditions.
  • B. Sunan Ibn Majah
    Sunan Ibn Majah is one of the six major Sunni hadith collections, compiled by the 9th-century scholar Ibn Majah and widely used as a key source of prophetic traditions.
  • C. Jami al-Tirmidhi
    Jami al-Tirmidhi is a renowned 9th-century Sunni hadith collection compiled by Imam al-Tirmidhi, widely regarded as one of the six major canonical books of hadith in Islam.
  • D. Bukhari
    Bukhari is a Jewish dialect of Tajik (a variety of Persian) traditionally spoken by the Bukharan Jewish community of Central Asia.
  • E. Sunan Abu Dawud
    Sunan Abu Dawud is one of the six major Sunni hadith collections, compiled by the scholar Abu Dawud and highly regarded for its focus on legal rulings and prophetic practice.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda74808081908d4bf890759e7120 completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0779651588190a00179dec66bc228 completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:28 p.m.