Triple

T20931477
Position Surface form Disambiguated ID Type / Status
Subject Turan E515480 entity
Predicate languageOfSources P2925 FINISHED
Object Classical Persian 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: Classical Persian | Statement: [Turan, languageOfSources, Classical Persian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Classical Persian
Context triple: [Turan, languageOfSources, Classical Persian]
  • A. Old Persian
    Old Persian is an ancient Iranian language used in the Achaemenid Empire, primarily known from royal inscriptions such as those of Darius the Great.
  • B. Middle Persian language
    Middle Persian language was the historical Iranian language of the Sasanian Empire and a direct ancestor of modern Persian (Farsi).
  • C. Persian
    Persian refers to the Iranian ethnic group historically centered in Persia (modern-day Iran), renowned for its influential role in the Achaemenid Empire and broader Middle Eastern history and culture.
  • D. Avestan language
    The Avestan language is an ancient Eastern Iranian language known primarily as the liturgical language of Zoroastrianism and the sacred texts of the Avesta.
  • E. Persian language chosen
    Persian language is a major modern Iranian language spoken primarily in Iran, Afghanistan, and Tajikistan, known for its rich literary tradition and historical influence across the Middle East and Central Asia.
  • 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f65681b4819083c7ef6b44ba4bdb completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 12:49 p.m.