Triple

T13487400
Position Surface form Disambiguated ID Type / Status
Subject Shinaki E318540 entity
Predicate ethnicGroupIn P1898 FINISHED
Object Gurez Valley E614635 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: Gurez Valley | Statement: [Shinaki, ethnicGroupIn, Gurez Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gurez Valley
Context triple: [Shinaki, ethnicGroupIn, Gurez Valley]
  • A. Gurez Valley chosen
    Gurez Valley is a remote, scenic Himalayan valley in the Union Territory of Jammu and Kashmir, India, known for its rugged mountains, traditional Dard-Shin culture, and strategic location near the Line of Control.
  • B. Alpuri Valley
    Alpuri Valley is a scenic mountainous valley located in Pakistan’s Shangla District, known for its natural beauty and rural landscapes.
  • C. Waghi Valley
    Waghi Valley is a fertile highland valley in Papua New Guinea known for its rich agricultural land and dense rural communities.
  • D. Kumrat Valley
    Kumrat Valley is a scenic alpine valley in northern Pakistan renowned for its lush forests, rivers, and mountain landscapes that attract nature lovers and trekkers.
  • E. Ghizer Valley
    Ghizer Valley is a scenic mountainous valley in Pakistan’s Gilgit-Baltistan region, known for its rivers, lakes, and trekking routes along the ancient Silk Road corridor.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3b9b488190bb4e11424ff599c8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d3afa0c81908733f3fd193d4e0f completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:42 p.m.