Triple

T11068137
Position Surface form Disambiguated ID Type / Status
Subject Southern Tat E261676 entity
Predicate hasDialect P4251 FINISHED
Object Absheron Tat
Absheron Tat is a regional dialect of the Southern Tat language spoken primarily on the Absheron Peninsula in Azerbaijan.
 E903457 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: Absheron Tat | Statement: [Southern Tat, hasDialect, Absheron Tat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Absheron Tat
Context triple: [Southern Tat, hasDialect, Absheron Tat]
  • A. Abasha
    Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
  • B. Abas
    Abas is a figure in Greek mythology known primarily as the son of Hypermnestra and a king of Argos in some traditions.
  • C. Abunayyan
    Abunayyan is a prominent Saudi family name associated with influential figures in business and public life in Saudi Arabia.
  • D. Asbarez
    Asbarez is a long-running Armenian-American newspaper that serves as a key news source and voice for the Armenian diaspora, particularly in the United States.
  • E. Arison
    Arison is a surname most prominently associated with the Israeli-American Arison family, known for its major roles in global business and philanthropy, including leadership of Carnival Corporation.
  • 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: Absheron Tat
Triple: [Southern Tat, hasDialect, Absheron Tat]
Generated description
Absheron Tat is a regional dialect of the Southern Tat language spoken primarily on the Absheron Peninsula in Azerbaijan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Absheron Tat
Target entity description: Absheron Tat is a regional dialect of the Southern Tat language spoken primarily on the Absheron Peninsula in Azerbaijan.
  • A. Abasha
    Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
  • B. Abas
    Abas is a figure in Greek mythology known primarily as the son of Hypermnestra and a king of Argos in some traditions.
  • C. Abunayyan
    Abunayyan is a prominent Saudi family name associated with influential figures in business and public life in Saudi Arabia.
  • D. Asbarez
    Asbarez is a long-running Armenian-American newspaper that serves as a key news source and voice for the Armenian diaspora, particularly in the United States.
  • E. Arison
    Arison is a surname most prominently associated with the Israeli-American Arison family, known for its major roles in global business and philanthropy, including leadership of Carnival Corporation.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7992164d88190a01ed567b2529227 completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8a4cdb8819080765d746f477089 completed April 18, 2026, 6:08 p.m.
NEDg Description generation batch_69e3d5cf52d081909c006d0281b55b22 completed April 18, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_69e3da9a5b148190863416c38403cbd3 completed April 18, 2026, 7:25 p.m.
Created at: April 8, 2026, 9:26 p.m.