Triple

T6871692
Position Surface form Disambiguated ID Type / Status
Subject Baspa River E158561 entity
Predicate valleyName P650 FINISHED
Object Sangla Valley E631553 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: Sangla Valley | Statement: [Baspa River, valleyName, Sangla Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sangla Valley
Context triple: [Baspa River, valleyName, Sangla Valley]
  • A. Sangla Valley chosen
    Sangla Valley is a picturesque Himalayan valley in Himachal Pradesh, India, renowned for its apple orchards, traditional Kinnauri culture, and dramatic mountain landscapes.
  • B. Agam Valley
    Agam Valley is a fertile, scenic valley in Indonesia’s Minangkabau Highlands known for its terraced agriculture and traditional Minangkabau villages.
  • C. Neelum Valley
    Neelum Valley is a scenic, mountainous valley in Azad Jammu and Kashmir, Pakistan, renowned for its lush forests, rivers, and popular tourist resorts.
  • D. Kangra Valley
    Kangra Valley is a picturesque valley in the Indian state of Himachal Pradesh, renowned for its lush landscapes, tea gardens, and views of the Dhauladhar mountain range.
  • E. Gojal Valley
    Gojal Valley is a high-altitude region in northern Pakistan’s Hunza District, known for its dramatic Karakoram mountain scenery, glaciers, and proximity to the China–Pakistan border.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8ac04e08190aa8011c0ade9d509 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7752f047481908fb58112d783ba1e completed March 28, 2026, 6:29 a.m.
Created at: March 27, 2026, 2:22 p.m.