Triple

T4950042
Position Surface form Disambiguated ID Type / Status
Subject Tabasaran E111145 entity
Predicate hasDialects P4251 FINISHED
Object Northern Tabasaran
Northern Tabasaran is a primary dialect of the Tabasaran language, spoken by communities in parts of Dagestan in the North Caucasus.
 E483550 NE FINISHED

How this triple was built (4 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: [Tabasaran, hasDialects, Northern Tabasaran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Northern Tabasaran
Context triple: [Tabasaran, hasDialects, Northern Tabasaran]
  • A. Kurmanji
    Kurmanji is the most widely spoken dialect of the Kurdish language, used primarily by Kurds across Turkey, Syria, Iraq, Iran, and the diaspora.
  • B. Bakhtiari
    Bakhtiari is a surname most prominently associated with David Bakhtiari, an American football offensive tackle in the NFL.
  • C. Shastan languages
    Shastan languages are a small family of closely related Native American languages historically spoken in northern California and southern Oregon.
  • D. Achomi language
    Achomi language is a Southwestern Iranian language spoken primarily by the Achomi people in southern Iran and parts of the Persian Gulf region.
  • E. Gilaki
    Gilaki is an Iranian language spoken primarily in Iran’s Gilan Province along the Caspian Sea coast.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Northern Tabasaran
Triple: [Tabasaran, hasDialects, Northern Tabasaran]
Generated description
Northern Tabasaran is a primary dialect of the Tabasaran language, spoken by communities in parts of Dagestan in the North Caucasus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Northern Tabasaran
Target entity description: Northern Tabasaran is a primary dialect of the Tabasaran language, spoken by communities in parts of Dagestan in the North Caucasus.
  • A. Kurmanji
    Kurmanji is the most widely spoken dialect of the Kurdish language, used primarily by Kurds across Turkey, Syria, Iraq, Iran, and the diaspora.
  • B. Bakhtiari
    Bakhtiari is a surname most prominently associated with David Bakhtiari, an American football offensive tackle in the NFL.
  • C. Shastan languages
    Shastan languages are a small family of closely related Native American languages historically spoken in northern California and southern Oregon.
  • D. Achomi language
    Achomi language is a Southwestern Iranian language spoken primarily by the Achomi people in southern Iran and parts of the Persian Gulf region.
  • E. Gilaki
    Gilaki is an Iranian language spoken primarily in Iran’s Gilan Province along the Caspian Sea coast.
  • F. None of above. chosen

Provenance (5 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7167f97481908db5bfa9338e3824 completed March 20, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81d03b088190aa6601298ee4d8fd completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be8625c100819086b9621b43268164 completed March 21, 2026, 11:51 a.m.
NED2 Entity disambiguation (via description) batch_69be8675c7e08190b01880a679554412 completed March 21, 2026, 11:52 a.m.
Created at: March 20, 2026, 1:31 p.m.