Triple

T56684
Position Surface form Disambiguated ID Type / Status
Subject Green Revolution E1121 entity
Predicate influencedRegion P1774 FINISHED
Object Pakistan E1646 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: Pakistan | Statement: [Green Revolution, influencedRegion, Pakistan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pakistan
Context triple: [Green Revolution, influencedRegion, Pakistan]
  • A. Pakistan chosen
    Pakistan is a South Asian country bordering India, Afghanistan, Iran, and China, known for its diverse cultures, strategic geopolitical position, and significant agricultural and nuclear capabilities.
  • B. Afghanistan
    Afghanistan is a landlocked, mountainous country in South-Central Asia known for its strategic location at the crossroads of empires and its long history of conflict and cultural diversity.
  • C. Khyber Pakhtunkhwa
    Khyber Pakhtunkhwa is a mountainous province in northwestern Pakistan known for its strategic location along the Afghan border, diverse ethnic Pashtun culture, and significant role in the region’s history and security.
  • D. India
    India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
  • E. Punjab
    Punjab is a historically and culturally rich region of South Asia, known for its fertile agricultural lands, Sikh heritage, and partition between modern-day India and Pakistan.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24ec4d84c81908d85a1e941dbcd19 completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a275e0deec819087a968353b9fa8f8 completed Feb. 28, 2026, 4:58 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.