Triple

T4949958
Position Surface form Disambiguated ID Type / Status
Subject Dargin E111143 entity
Predicate hasDialects P4251 FINISHED
Object Itsari
Itsari is a dialect of the Dargin language spoken by a small community in the North Caucasus region of Dagestan, Russia.
 E483544 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: Itsari | Statement: [Dargin, hasDialects, Itsari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Itsari
Context triple: [Dargin, hasDialects, Itsari]
  • A. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • B. Velitrae
    Velitrae is an ancient town in Latium, Italy, historically notable as the birthplace of the future Roman emperor Augustus (Gaius Octavius).
  • C. 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.
  • D. Shambuko
    Shambuko is a town and administrative center located in the Gash-Barka region of western Eritrea.
  • E. Hnoss
    Hnoss is a figure in Norse mythology known as the beautiful daughter of the goddess Freyja, often associated with preciousness and treasure.
  • 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: Itsari
Triple: [Dargin, hasDialects, Itsari]
Generated description
Itsari is a dialect of the Dargin language spoken by a small community in the North Caucasus region of Dagestan, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Itsari
Target entity description: Itsari is a dialect of the Dargin language spoken by a small community in the North Caucasus region of Dagestan, Russia.
  • A. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • B. Velitrae
    Velitrae is an ancient town in Latium, Italy, historically notable as the birthplace of the future Roman emperor Augustus (Gaius Octavius).
  • C. 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.
  • D. Shambuko
    Shambuko is a town and administrative center located in the Gash-Barka region of western Eritrea.
  • E. Hnoss
    Hnoss is a figure in Norse mythology known as the beautiful daughter of the goddess Freyja, often associated with preciousness and treasure.
  • 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.