Triple

T4949909
Position Surface form Disambiguated ID Type / Status
Subject People's Assembly of the Republic of Dagestan E111142 entity
Predicate languageOfWorkOrName P15 FINISHED
Object Avar E112560 NE FINISHED

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: Avar | Statement: [People's Assembly of the Republic of Dagestan, languageOfWorkOrName, Avar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avar
Context triple: [People's Assembly of the Republic of Dagestan, languageOfWorkOrName, Avar]
  • A. Avar chosen
    Avar is a Northeast Caucasian language spoken primarily by the Avar people in Dagestan and neighboring regions of the North Caucasus.
  • B. Avarua
    Avarua is the main town and administrative, commercial, and cultural center of the Cook Islands, located on the north coast of Rarotonga.
  • C. Etnedal
    Etnedal is a rural municipality in Innlandet county, Norway, known for its forested valleys, agriculture, and outdoor recreation.
  • D. Avusy
    Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, near the French border.
  • E. Riasti
    Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: March 20, 2026, 1:31 p.m.