Triple

T16300390
Position Surface form Disambiguated ID Type / Status
Subject Mazanderani E395767 entity
Predicate hasDialect P4251 FINISHED
Object Amoli dialect E522459 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: Amoli dialect | Statement: [Mazanderani, hasDialect, Amoli dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amoli dialect
Context triple: [Mazanderani, hasDialect, Amoli dialect]
  • A. Amoli dialect chosen
    The Amoli dialect is a regional variety of the Mazanderani language traditionally spoken in and around the city of Amol in northern Iran.
  • B. Tyari dialect
    The Tyari dialect is a regional variety of Assyrian Neo-Aramaic traditionally spoken by Assyrian communities from the Tyari region in the Hakkari mountains.
  • C. Kauravi dialect
    Kauravi dialect is a regional variety of Hindi-Urdu traditionally spoken in and around the Delhi region of northern India.
  • D. Malwai dialect
    The Malwai dialect is a regional variety of Punjabi primarily spoken in the Malwa region of the Indian state of Punjab.
  • E. Sonepuri dialect
    The Sonepuri dialect is a regional variety of the Koshali language spoken primarily around the Sonepur area in western Odisha, India.
  • 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.