Triple

T1745451
Position Surface form Disambiguated ID Type / Status
Subject Arabic alphabet E38326 entity
Predicate usedFor P98 FINISHED
Object Kurdish language E27174 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: Kurdish language | Statement: [Arabic alphabet, usedFor, Kurdish language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurdish language
Context triple: [Arabic alphabet, usedFor, Kurdish language]
  • A. Kurdish language chosen
    The Kurdish language is an Indo-Iranian language spoken by Kurds across parts of Turkey, Iraq, Iran, Syria, and neighboring regions, with several major dialects and multiple writing systems.
  • B. Zazaki
    Zazaki is an Indo-Iranian language spoken primarily in eastern Turkey, often associated with the Zaza people and considered one of the main Kurdish-related dialects or languages.
  • C. Gilaki
    Gilaki is an Iranian language spoken primarily in Iran’s Gilan Province along the Caspian Sea coast.
  • D. Khowar
    Khowar is an Indo-Aryan language primarily spoken in the Chitral region of Pakistan and parts of neighboring areas, known for its rich oral tradition and distinct phonology.
  • E. Gorani
    Gorani is a Northwestern Iranian language variety traditionally spoken by Kurdish communities in parts of Iran and Iraq, notable for its rich literary and religious heritage.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63e93f3481909f61d581f7a5bdfa completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0de0ff08190bb7758e3ba32de80 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.