Triple

T19333291
Position Surface form Disambiguated ID Type / Status
Subject Southern Tabasaran E483551 entity
Predicate closelyRelatedTo P37 FINISHED
Object Northern Tabasaran 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: Northern Tabasaran | Statement: [Southern Tabasaran, closelyRelatedTo, Northern Tabasaran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Tabasaran
Context triple: [Southern Tabasaran, closelyRelatedTo, Northern Tabasaran]
  • A. Northern Tabasaran chosen
    Northern Tabasaran is a primary dialect of the Tabasaran language, spoken by communities in parts of Dagestan in the North Caucasus.
  • B. Southern Tabasaran
    Southern Tabasaran is a primary dialect of the Northeast Caucasian Tabasaran language, spoken mainly in parts of Dagestan, Russia.
  • C. Northern Khalaj
    Northern Khalaj is a primary dialect of the Khalaj Turkic language spoken by Khalaj communities, distinguished by its conservative linguistic features.
  • D. Central Luri
    Central Luri is a major variety of the Luri language spoken by Lur communities in western Iran, characterized by features transitional between Persian and Kurdish.
  • E. Southern Khalaj
    Southern Khalaj is a primary regional variety of the Khalaj Turkic language, spoken by communities in parts of Iran.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61642f49c81909226cfd701f7c139 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.