Triple

T10933748
Position Surface form Disambiguated ID Type / Status
Subject Rumbur Valley E258274 entity
Predicate partOf P40 FINISHED
Object Kalash Valleys E55102 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: Kalash Valleys | Statement: [Rumbur Valley, partOf, Kalash Valleys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalash Valleys
Context triple: [Rumbur Valley, partOf, Kalash Valleys]
  • A. Kalash Valleys chosen
    The Kalash Valleys are a remote mountainous region in northern Pakistan known for their indigenous Kalash people, distinctive polytheistic culture, wooden architecture, and vibrant seasonal festivals.
  • B. Nuristani Kalasha
    Nuristani Kalasha is an Indo-Iranian language of the Nuristani branch spoken in parts of eastern Afghanistan.
  • C. Kalasha
    Kalasha is an endangered Indo-Aryan language spoken by the Kalash people in the remote valleys of northern Pakistan.
  • D. Kaghan Valley
    Kaghan Valley is a scenic alpine valley in northern Pakistan renowned for its lush landscapes, rivers, and popular hill stations that attract tourists year-round.
  • E. Alay Valley
    Alay Valley is a high-altitude valley in southern Kyrgyzstan, known for its broad grasslands, dramatic mountain scenery, and role as a historic corridor between Central and South Asia.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770ae073881909720febe9f5f296a completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23bee9b208190aee8f938dff3f234 completed April 17, 2026, 1:55 p.m.
Created at: April 8, 2026, 9:23 p.m.