Triple

T11926242
Position Surface form Disambiguated ID Type / Status
Subject Khaplu E283788 entity
Predicate nearbyAttraction P3449 FINISHED
Object Hushe Valley E284936 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: Hushe Valley | Statement: [Khaplu, nearbyAttraction, Hushe Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hushe Valley
Context triple: [Khaplu, nearbyAttraction, Hushe Valley]
  • A. Hushe Valley chosen
    Hushe Valley is a remote, high-altitude valley in Pakistan’s Karakoram range known as a gateway for trekking and climbing expeditions to major peaks like Masherbrum.
  • B. Taleqan Valley
    Taleqan Valley is a scenic mountainous valley in Iran known for its cool climate, rivers, and natural landscapes that attract hikers and nature lovers.
  • C. Szinva Valley
    Szinva Valley is a scenic gorge in northern Hungary carved by the Szinva stream, known for its waterfalls, forested trails, and popular hiking routes near the city of Miskolc.
  • D. 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.
  • E. Hunza Valley
    Hunza Valley is a picturesque mountainous valley in northern Pakistan renowned for its dramatic Karakoram peaks, terraced fields, and traditionally long-lived local communities.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8e3ff308190851ce656286bc67e completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66849ba888190a50c5a5fcdb935e0 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:45 p.m.