Triple

T7017831
Position Surface form Disambiguated ID Type / Status
Subject Taftan E162739 entity
Predicate languageSpoken P151 FINISHED
Object Brahui E163238 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: Brahui | Statement: [Taftan, languageSpoken, Brahui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brahui
Context triple: [Taftan, languageSpoken, Brahui]
  • A. Brahui chosen
    Brahui is a Dravidian language spoken primarily by the Brahui people in parts of Pakistan, Afghanistan, and Iran.
  • B. 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.
  • C. Brahui people
    The Brahui people are a Dravidian-speaking ethnic group primarily inhabiting central and eastern Balochistan, known for their distinct language and cultural traditions amid predominantly Iranian-language neighbors.
  • D. Burushaski
    Burushaski is a language isolate spoken by the Burusho people in northern Pakistan, particularly in the Hunza, Nagar, and Yasin valleys of Gilgit-Baltistan.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1e79c108190a507335e9dbf2716 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7756a50608190b548ce4aeaaf9f9d completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:34 p.m.