Triple

T16300384
Position Surface form Disambiguated ID Type / Status
Subject Mazanderani E395767 entity
Predicate alternateName P39 FINISHED
Object Mazani E522457 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: Mazani | Statement: [Mazanderani, alternateName, Mazani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazani
Context triple: [Mazanderani, alternateName, 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. Mazilu
    Mazilu is a Romanian surname borne by various notable figures in fields such as politics, law, and the arts.
  • D. Mawteni
    Mawteni is an alternative Romanized spelling of "Mawtini," the famous Arabic patriotic poem and anthem widely associated with Palestinian and Iraqi national identity.
  • E. Mandegusu
    Mandegusu is an alternate name for Simbo, an island in the Western Province of the Solomon Islands in the South Pacific.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e31c9e8819094593f3aeb44f2ca completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9fb2908190a8521b1ccf49170a completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.