Triple

T22700284
Position Surface form Disambiguated ID Type / Status
Subject An Introduction to Sachal Sarmast E561300 entity
Predicate mainSubject P3 FINISHED
Object Sachal Sarmast NE NERFINISHED

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: Sachal Sarmast | Statement: [An Introduction to Sachal Sarmast, mainSubject, Sachal Sarmast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sachal Sarmast
Context triple: [An Introduction to Sachal Sarmast, mainSubject, Sachal Sarmast]
  • A. Sachal Sarmast chosen
    Sachal Sarmast was an 18th–19th century Sindhi Sufi poet and mystic renowned for his humanist, pluralistic verse composed in multiple South Asian languages.
  • B. Hafeez Jalandhari
    Hafeez Jalandhari was a Pakistani poet best known for writing the lyrics of Pakistan’s national anthem.
  • C. Abdul Latif Bhittai
    Abdul Latif Bhittai was an 18th-century Sindhi Sufi poet and mystic, renowned for his spiritual poetry compiled in the Shah Jo Risalo and his profound influence on Sindhi literature and Sufism.
  • D. Mazhar Munir
    Mazhar Munir is a British actor best known for his role in the geopolitical thriller film "Syriana."
  • E. Sufiana Kalam
    Sufiana Kalam is a traditional form of Sufi devotional music from Kashmir, characterized by mystical poetry and spiritually themed singing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178ca683c81909f6b4e26b85c99c1 completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:15 p.m.