Triple

T2071191
Position Surface form Disambiguated ID Type / Status
Subject Quba District E44818 entity
Predicate hasMinorityLanguage P2267 FINISHED
Object Tat E231520 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: Tat | Statement: [Quba District, hasMinorityLanguage, Tat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tat
Context triple: [Quba District, hasMinorityLanguage, Tat]
  • A. Tats chosen
    The Tats are an Iranian-speaking ethnic group of the eastern Caucasus, primarily living in parts of Azerbaijan and southern Dagestan, with a distinct language and cultural traditions.
  • B. Tad
    Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
  • C. Tan
    Tan is a surname and given name commonly found in various East and Southeast Asian cultures, often representing a romanization of different Chinese family names.
  • D. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • E. Tatha
    Tatha is the Scottish Gaelic name for the River Tay, one of Scotland’s longest and most significant rivers.
  • 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba0d20bc8190b19a32157f8b1607 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae30547b288190ab9466686f749768 completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:41 p.m.