Triple

T6843472
Position Surface form Disambiguated ID Type / Status
Subject Hunza River E157833 entity
Predicate locatedIn P40 FINISHED
Object Hunza Valley E55867 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: Hunza Valley | Statement: [Hunza River, locatedIn, Hunza Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunza Valley
Context triple: [Hunza River, locatedIn, Hunza Valley]
  • A. Hunza Valley chosen
    Hunza Valley is a picturesque mountainous valley in northern Pakistan renowned for its dramatic Karakoram peaks, terraced fields, and traditionally long-lived local communities.
  • B. Parun Valley
    Parun Valley is a remote mountainous valley in eastern Afghanistan’s Nuristan region, known as the homeland of the Prasun-speaking Nuristani people.
  • C. Betaab Valley
    Betaab Valley is a picturesque, film-famous valley in Jammu and Kashmir, India, known for its lush meadows, clear streams, and surrounding snow-capped mountains.
  • D. 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.
  • E. Paznaun Valley
    Paznaun Valley is a high Alpine valley in western Tyrol, Austria, known for its popular ski resorts and mountain tourism.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b7179481909e3482fef47b2719 completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fbf06008190a8c342d3d7dec930 completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:19 p.m.