Triple

T3865588
Position Surface form Disambiguated ID Type / Status
Subject Khunjerab Pass E91843 entity
Predicate nameLanguageOrigin P506 FINISHED
Object Wakhi E88386 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: Wakhi | Statement: [Khunjerab Pass, nameLanguageOrigin, Wakhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wakhi
Context triple: [Khunjerab Pass, nameLanguageOrigin, Wakhi]
  • A. Wakhi chosen
    Wakhi is an Eastern Iranian language traditionally spoken by the Wakhi people in the high mountain regions of Pakistan, Afghanistan, Tajikistan, and China.
  • B. Kurmanji
    Kurmanji is the most widely spoken dialect of the Kurdish language, used primarily by Kurds across Turkey, Syria, Iraq, Iran, and the diaspora.
  • C. Brahui
    Brahui is a Dravidian language spoken primarily by the Brahui people in parts of Pakistan, Afghanistan, and Iran.
  • D. Hazara
    Hazara is a mountainous region in northern Pakistan, known for its diverse ethnic communities, strategic location near the Himalayas, and historical significance under various empires and states.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3a253c81909df7dc0422ff7989 completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c808c808190928bf07788ad9657 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:19 p.m.