Triple

T4008496
Position Surface form Disambiguated ID Type / Status
Subject Attabad Lake E89584 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: [Attabad Lake, locatedIn, Hunza Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunza Valley
Context triple: [Attabad Lake, 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. 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.
  • D. Rana valley
    Rana valley is a river valley in the Mo i Rana area of northern Norway, known for its rugged landscapes and surrounding mountains.
  • E. Kiso Valley
    Kiso Valley is a scenic, historically significant valley in central Japan known for its preserved post towns along the old Nakasendō route and its surrounding forested mountains.
  • 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa647f80819081180eb267f1cfcc completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55626f19c8190af4705b1cd3b201d completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:34 p.m.