Triple

T2122166
Position Surface form Disambiguated ID Type / Status
Subject Amu Darya E43947 entity
Predicate region P40 FINISHED
Object Hindu Kush E9537 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: Hindu Kush | Statement: [Amu Darya, region, Hindu Kush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hindu Kush
Context triple: [Amu Darya, region, Hindu Kush]
  • A. Hindu Kush chosen
    The Hindu Kush is a major mountain range in Central and South Asia, forming a rugged extension of the Himalayas and serving as a historic crossroads between the Indian subcontinent and the Middle East.
  • B. Karakoram
    Karakoram is a major mountain range in Central and South Asia, home to some of the world’s highest peaks including K2 and extensive glaciers.
  • C. Pamir Mountains
    The Pamir Mountains are a high, rugged mountain range in Central Asia known for their towering peaks, extensive glaciation, and role as a major junction of several of Asia’s great ranges.
  • D. Kailash Range
    The Kailash Range is a prominent mountain range in Tibet best known for Mount Kailash, a peak sacred in Hinduism, Buddhism, Jainism, and Bon.
  • E. Kohistan ranges
    The Kohistan ranges are a rugged mountainous region in northern Pakistan known for their steep terrain, deep valleys, and remote, sparsely populated landscapes.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb51e8088190a1aeafee4e8dff63 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71ac8a0081909cbb1187513bfc56 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:44 p.m.