Triple

T617032
Position Surface form Disambiguated ID Type / Status
Subject Balochi E14427 entity
Predicate closelyRelatedTo P37 FINISHED
Object Zazaki E41080 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: Zazaki | Statement: [Balochi, closelyRelatedTo, Zazaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zazaki
Context triple: [Balochi, closelyRelatedTo, Zazaki]
  • A. Zazaki chosen
    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.
  • B. 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.
  • C. Balochi
    Balochi is an Iranian language spoken primarily by the Baloch people across Pakistan, Iran, and Afghanistan, with several dialects and a rich oral literary tradition.
  • D. Saraiki
    Saraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
  • E. Pashto language
    Pashto is an Eastern Iranian language spoken primarily in Afghanistan and Pakistan, serving as one of Afghanistan’s official languages and a key marker of Pashtun ethnic identity.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e22f3688190a512bec3f0347814 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a55a77b6648190a2d07471442b401a completed March 2, 2026, 9:37 a.m.
Created at: March 1, 2026, 7:35 p.m.