Triple

T2495131
Position Surface form Disambiguated ID Type / Status
Subject Khyber Pakhtunkhwa E52136 entity
Predicate hasMajorCity P316 FINISHED
Object Swat (Mingora) 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 (Mingora) | Statement: [Khyber Pakhtunkhwa, hasMajorCity, Swat (Mingora)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swat (Mingora)
Context triple: [Khyber Pakhtunkhwa, hasMajorCity, Swat (Mingora)]
  • A. Swat District
    Swat District is a mountainous administrative region in Pakistan’s Khyber Pakhtunkhwa province, renowned for its scenic valleys, rivers, and historical Buddhist heritage.
  • B. Orakzai Agency
    Orakzai Agency was a former administrative district in Pakistan’s northwestern tribal belt, inhabited mainly by the Orakzai Pashtun tribe and later merged into Khyber Pakhtunkhwa province.
  • C. 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.
  • D. Swat Valley
    Swat Valley is a picturesque mountainous region in northern Pakistan renowned for its lush green landscapes, rivers, and historical Buddhist heritage.
  • E. Swabi
    Swabi is a city in northern Pakistan known as an agricultural and commercial center in the Khyber Pakhtunkhwa province.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd19541048190b9e39db119c20fe8 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af654aab208190adbc5fb6bd500106 completed March 10, 2026, 12:26 a.m.
Created at: March 6, 2026, 9:45 p.m.