Triple

T17750475
Position Surface form Disambiguated ID Type / Status
Subject Kinnaur district E443098 entity
Predicate contains P35 FINISHED
Object Sangla Valley NE NERFINISHED

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: [Kinnaur district, contains, Sangla Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sangla Valley
Context triple: [Kinnaur district, contains, 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. Chail Valley
    Chail Valley is a mountainous valley in Pakistan’s Khyber Pakhtunkhwa province, known for its scenic landscapes and as a homeland of the Torwali-speaking community.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4841a401c8190ae1dc0ed7ae4cc26 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.