Triple

T945816
Position Surface form Disambiguated ID Type / Status
Subject Dagestan E20410 entity
Predicate hasRecognizedLanguages P238 FINISHED
Object Tabasaran
Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
 E111145 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: Tabasaran | Statement: [Dagestan, hasRecognizedLanguages, Tabasaran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tabasaran
Context triple: [Dagestan, hasRecognizedLanguages, Tabasaran]
  • A. Tora
    Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
  • B. Halawa
    Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
  • C. Taphus
    Taphus was the original name of the town that later became Charlotte Amalie, the capital of the U.S. Virgin Islands.
  • D. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • E. Anti-Atlas
    The Anti-Atlas is a rugged mountain range in southern Morocco known for its arid landscapes, ancient rock formations, and role as a transition zone between the High Atlas and the Sahara Desert.
  • 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: Tabasaran
Triple: [Dagestan, hasRecognizedLanguages, Tabasaran]
Generated description
Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tabasaran
Target entity description: Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • A. Tora
    Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
  • B. Halawa
    Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
  • C. Taphus
    Taphus was the original name of the town that later became Charlotte Amalie, the capital of the U.S. Virgin Islands.
  • D. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • E. Anti-Atlas
    The Anti-Atlas is a rugged mountain range in southern Morocco known for its arid landscapes, ancient rock formations, and role as a transition zone between the High Atlas and the Sahara Desert.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b74fc204819083dbed5c19c4bc15 completed March 1, 2026, 10:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826e7d55c8190b9b871caead76733 completed March 4, 2026, 12:34 p.m.
NEDg Description generation batch_69a845a793e08190892fe1a545095f62 completed March 4, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_69a8463631608190a9ada5605e9625aa completed March 4, 2026, 2:48 p.m.
Created at: March 1, 2026, 7:40 p.m.