Triple

T13040835
Position Surface form Disambiguated ID Type / Status
Subject Golestan Province E327185 entity
Predicate hasEthnicGroup P1898 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: [Golestan Province, hasEthnicGroup, Tat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tat
Context triple: [Golestan Province, hasEthnicGroup, 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. TATN
    TATN is the stock ticker symbol for Tatneft, a major Russian oil and gas company.
  • C. Tad
    Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
  • D. Tad
    Tad is an American grunge band from Seattle, known for their heavy, sludgy sound and association with the late-1980s/early-1990s Sub Pop scene.
  • E. Tateh
    Tateh is a central character in E.L. Doctorow’s novel "Ragtime," an Eastern European Jewish immigrant who rises from poverty as a street artist and silhouette maker to become a successful filmmaker in early 20th-century America.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804d8e3081909584c93df099859a completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd5139c8190aaec6487f074f251 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:56 p.m.