Triple

T21201221
Position Surface form Disambiguated ID Type / Status
Subject Tabari language E522456 entity
Predicate hasAutonym P1435 FINISHED
Object مازرونی 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: مازرونی | Statement: [Tabari language, hasAutonym, مازرونی]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: مازرونی
Context triple: [Tabari language, hasAutonym, مازرونی]
  • A. مازرونی chosen
    مازرونی یک زبان ایرانی شمال‌غربی است که عمدتاً در استان مازندران و نواحی اطراف دریای خزر در شمال ایران تکلم می‌شود.
  • B. Mazzanta
    Mazzanta is a coastal locality and seaside resort area within the municipality of Rosignano Marittimo in Tuscany, Italy.
  • C. Mazarati
    Mazarati was a mid-1980s funk and R&B band from the Prince-associated Minneapolis music scene, best known for their connection to The Revolution’s BrownMark and the original version of “Kiss.”
  • D. Mozasu
    Mozasu is a central character in Min Jin Lee's novel "Pachinko," a Korean-Japanese man whose life reflects the struggles and resilience of a marginalized immigrant family across generations.
  • E. Motta
    Motta is an Italian surname borne by various notable figures in sports, politics, and the arts.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73430c5a08190aeb6a62eec0f43a3 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:18 p.m.