Triple

T249835
Position Surface form Disambiguated ID Type / Status
Subject Malala Yousafzai E5118 entity
Predicate birthPlace P1 FINISHED
Object Swat Valley E34338 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: Swat Valley | Statement: [Malala Yousafzai, birthPlace, Swat Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swat Valley
Context triple: [Malala Yousafzai, birthPlace, Swat Valley]
  • A. Kalat Agency
    Kalat Agency was an administrative subdivision in British India located within the Baluchistan region, encompassing parts of the princely state of Kalat.
  • B. Mingora chosen
    Mingora is the largest city in Pakistan’s Swat Valley, known as a commercial and tourist hub and as the hometown of Nobel laureate Malala Yousafzai.
  • C. Gilgit-Baltistan
    Gilgit-Baltistan is a mountainous, strategically important region in northern Pakistan, known for its high peaks, including K2, and its location at the crossroads of South and Central Asia.
  • D. Thatta
    Thatta is an ancient city in Pakistan’s Sindh province, renowned for its rich Islamic architectural heritage and role as a major cultural and commercial center in South Asian history.
  • E. 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.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d3728f0819086214ccc2db2305a completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38b8ca1f08190a13733c03b9161f9 completed March 1, 2026, 12:42 a.m.
Created at: Feb. 28, 2026, 2:54 a.m.