Triple

T861964
Position Surface form Disambiguated ID Type / Status
Subject Vandana Shiva E18617 entity
Predicate countryOfCitizenship P2 FINISHED
Object India E1124 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: India | Statement: [Vandana Shiva, countryOfCitizenship, India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: India
Context triple: [Vandana Shiva, countryOfCitizenship, India]
  • A. India chosen
    India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
  • B. Star India
    Star India is a major Indian media and entertainment company known for its extensive portfolio of television channels and digital streaming services across multiple languages and genres.
  • C. Pakistan
    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.
  • D. Gujarat
    Gujarat is a western coastal state of India known for its significant role in trade and industry, rich cultural heritage, and historic cities such as Ahmedabad.
  • E. Indonesia
    Indonesia is a large Southeast Asian nation made up of thousands of islands, known for its diverse cultures, significant natural resources, and status as one of the world’s largest emerging economies.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac6631408190a19b83126fa86100 completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3c1ee4481909d5713122e5ad856 completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:39 p.m.