Triple

T6155973
Position Surface form Disambiguated ID Type / Status
Subject Shushtari dialect E137320 entity
Predicate hasAlternativeName P39 FINISHED
Object Shushtari Persian E3587 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: Shushtari Persian | Statement: [Shushtari dialect, hasAlternativeName, Shushtari Persian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shushtari Persian
Context triple: [Shushtari dialect, hasAlternativeName, Shushtari Persian]
  • A. 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.
  • B. Persan
    Persan is a commune in the northern suburbs of Paris, located in the Val-d'Oise department in the Île-de-France region of France.
  • C. Mazanderani language
    Mazanderani language is a Northwestern Iranian language spoken primarily along Iran’s southern Caspian Sea coast, especially in Mazandaran Province.
  • D. Bakhtiari Luri
    Bakhtiari Luri is a major Southwestern Iranian dialect spoken primarily by the Bakhtiari people of western and southwestern Iran.
  • 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 (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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d0376408190a2233375f478377e completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141867fac819093a3093aa8251eac completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.