Triple

T1055097
Position Surface form Disambiguated ID Type / Status
Subject Gulistan E22783 entity
Predicate originalTitle P65 FINISHED
Object گلستان 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: گلستان | Statement: [Gulistan, originalTitle, گلستان]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: گلستان
Context triple: [Gulistan, originalTitle, گلستان]
  • A. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • B. Mardan
    Mardan is a major city in northern Pakistan known as an important commercial and cultural center of the Khyber Pakhtunkhwa province.
  • C. Iravan
    Iravan is a minor hero in the Indian epic Mahabharata, known as the son of the Pandava prince Arjuna and the Naga princess Ulupi, and revered in certain regional traditions for his sacrificial role in the Kurukshetra war.
  • D. 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.
  • E. Afgooye
    Afgooye is a town in southern Somalia located near Mogadishu, known historically as an agricultural and trading center along the Shabelle River.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8d79268819080f3f3f497e91c58 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bd110ac8190b66163de42bd3034 completed March 7, 2026, 2:53 p.m.
Created at: March 1, 2026, 7:42 p.m.