Triple

T16494445
Position Surface form Disambiguated ID Type / Status
Subject Ghizer District E400645 entity
Predicate hasLanguage P15 FINISHED
Object Burushaski E85247 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: Burushaski | Statement: [Ghizer District, hasLanguage, Burushaski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burushaski
Context triple: [Ghizer District, hasLanguage, Burushaski]
  • A. Burushaski chosen
    Burushaski is a language isolate spoken by the Burusho people in northern Pakistan, particularly in the Hunza, Nagar, and Yasin valleys of Gilgit-Baltistan.
  • B. Brahui
    Brahui is a Dravidian language spoken primarily by the Brahui people in parts of Pakistan, Afghanistan, and Iran.
  • C. Mundari
    The Mundari are a Nilotic ethnic group of South Sudan known for their cattle-herding culture and pastoralist lifestyle.
  • D. Mundari
    Mundari is an Austroasiatic Munda language of eastern India, spoken primarily by the Munda people in states such as Jharkhand, Odisha, and West Bengal.
  • E. 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.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e3276b88190946a669b4d893a54 completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00607cbc80819088505d8bdd663109 completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:14 a.m.