Triple

T21201227
Position Surface form Disambiguated ID Type / Status
Subject Mazanderani language E522457 entity
Predicate hasAlternativeName P39 FINISHED
Object Mazani 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: Mazani | Statement: [Mazanderani language, hasAlternativeName, Mazani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazani
Context triple: [Mazanderani language, hasAlternativeName, Mazani]
  • A. Mazani chosen
    Mazani is an alternative name for the Mazanderani language, an Iranian language spoken primarily along the southern coast of the Caspian Sea in northern Iran.
  • B. Mazinan
    Mazinan is a village in northeastern Iran best known as the birthplace of influential Iranian intellectual and sociologist Ali Shariati.
  • C. Mawana
    Mawana is a town in the Indian state of Uttar Pradesh known as a local commercial and administrative center within the Meerut region.
  • D. Nagamani
    Nagamani is a mythical, luminous gem in Indian folklore believed to be associated with serpents (nagas) and to possess powerful supernatural properties.
  • E. Mazilu
    Mazilu is a Romanian surname borne by various notable figures in fields such as politics, law, 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.