Triple

T6317166
Position Surface form Disambiguated ID Type / Status
Subject Abu-Muhammad Muslih al-Din bin Abdallah Shirazi E141644 entity
Predicate notableWork P4 FINISHED
Object Gulistan E22783 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: Gulistan | Statement: [Abu-Muhammad Muslih al-Din bin Abdallah Shirazi, notableWork, Gulistan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gulistan
Context triple: [Abu-Muhammad Muslih al-Din bin Abdallah Shirazi, notableWork, Gulistan]
  • A. Gulistan chosen
    Gulistan is a classic 13th-century Persian literary work by Saadi, renowned for its elegant prose, moral anecdotes, and reflections on human behavior and society.
  • B. Bustan
    Bustan is a celebrated didactic poem by the 13th-century Persian poet Saadi, renowned for its moral tales and reflections on ethics and Sufi philosophy.
  • C. Bostan
    Bostan is a town in Pakistan’s Balochistan province that serves as a regional railway junction and transit point between Quetta and Chaman.
  • D. Malika-i-Jahan
    Malika-i-Jahan is an honorific title meaning "Queen of the World," historically associated with powerful royal women in the Indian subcontinent.
  • E. Gulshanabad
    Gulshanabad is the former historical name of the Indian city now known as Nashik in Maharashtra.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c25530819080b29e0029175c00 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e47ecea08190828af72d30d69a8c completed March 27, 2026, 1:59 a.m.
Created at: March 22, 2026, 4:29 p.m.