Triple

T8674710
Position Surface form Disambiguated ID Type / Status
Subject Hawrami E205884 entity
Predicate alternativeName P39 FINISHED
Object Hewramî E205883 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: Hewramî | Statement: [Hawrami, alternativeName, Hewramî]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hewramî
Context triple: [Hawrami, alternativeName, Hewramî]
  • A. Hawrami
    Hawrami is a dialect of the Gorani branch of Kurdish, spoken primarily in the Hawraman region of western Iran and northeastern Iraq.
  • B. Hewrami chosen
    Hewrami is a dialect of the Gorani branch of Northwestern Iranian languages, traditionally spoken by Kurdish communities in the Hawraman region of western Iran and northeastern Iraq.
  • C. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • D. Kurmanji
    Kurmanji is the most widely spoken dialect of the Kurdish language, used primarily by Kurds across Turkey, Syria, Iraq, Iran, and the diaspora.
  • E. Seraiki
    Seraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
  • 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_69cecd43c91c8190a9d1e5d14d764530 completed April 2, 2026, 8:10 p.m.
Created at: March 30, 2026, 6:31 p.m.