Triple

T9055134
Position Surface form Disambiguated ID Type / Status
Subject Gilaks E216977 entity
Predicate relatedEthnicGroup P1969 FINISHED
Object Mazanderanis E395767 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: Mazanderanis | Statement: [Gilaks, relatedEthnicGroup, Mazanderanis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazanderanis
Context triple: [Gilaks, relatedEthnicGroup, Mazanderanis]
  • A. Mazanderani chosen
    Mazanderani is a Northwestern Iranian language spoken along Iran’s Caspian Sea coast, particularly in Mazandaran Province.
  • B. Babolsar
    Babolsar is a coastal city on the Caspian Sea in northern Iran, known as a regional tourist destination with beaches, a riverfront, and a popular seaside promenade.
  • C. Nowshahr
    Nowshahr is a coastal city on the Caspian Sea in northern Iran, known as a regional port, tourist destination, and commercial center.
  • D. Rasht
    Rasht is a major city in northern Iran near the Caspian Sea, known as the capital of Gilan Province and a cultural and economic center of the region.
  • E. Meshginshahr
    Meshginshahr is a city in northwestern Iran known for its proximity to Mount Sabalan and its hot springs.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a7488188190b3dd6bc2f2377503 completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e4d5f5008190a897b3b10b172592 completed April 5, 2026, 10:40 p.m.
Created at: March 30, 2026, 7:10 p.m.