Triple

T8674772
Position Surface form Disambiguated ID Type / Status
Subject Hawrami dialect E205886 entity
Predicate hasAlternativeName P39 FINISHED
Object Avromani E749143 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: Avromani | Statement: [Hawrami dialect, hasAlternativeName, Avromani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avromani
Context triple: [Hawrami dialect, hasAlternativeName, Avromani]
  • A. Avromani
    Avromani is an alternative name for the Gorani people, a Slavic Muslim ethnic group primarily inhabiting the Gora region in the Balkans.
  • B. Avromani chosen
    Avromani is an alternative name for the Hewrami (Hawrami) variety of the Gorani language spoken by Kurdish communities in the Hawraman region of western Iran and northeastern Iraq.
  • C. Yehudi
    Yehudi is a masculine given name most famously associated with the renowned violinist Yehudi Menuhin.
  • D. Yevanic
    Yevanic is a historical Greek dialect once spoken by the Romaniote Jews, characterized by its blend of Greek and Hebrew elements.
  • E. Litvak
    Litvak is a surname most notably borne by Anatole Litvak, a Ukrainian-born film director who worked extensively in Hollywood and Europe.
  • 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc491cee048190a6f6cddabada76dc completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28748c0c8190a8870650a9b07d7d completed April 3, 2026, 2:39 a.m.
Created at: March 30, 2026, 6:31 p.m.