Triple

T1137324
Position Surface form Disambiguated ID Type / Status
Subject Saadi E23169 entity
Predicate notableWork P4 FINISHED
Object Bustan E24234 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: Bustan | Statement: [Saadi, notableWork, Bustan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bustan
Context triple: [Saadi, notableWork, Bustan]
  • A. Bustan chosen
    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.
  • B. Gulistan
    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.
  • C. Murzuq
    Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
  • D. Lisān al-Ghayb
    Lisān al-Ghayb is the honorific epithet of the Persian poet Hafez, highlighting his perceived mystical insight into the unseen and the divine.
  • E. Sulh-i Kul
    Sulh-i Kul was a Mughal-era doctrine of universal peace and tolerance that promoted religious harmony and equal treatment of all faiths in the empire.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc2450c481909b9264e170070326 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59ae5f20819093f8acc3ba7a6638 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:44 p.m.