Triple

T21527205
Position Surface form Disambiguated ID Type / Status
Subject Ramakant Achrekar E531125 entity
Predicate regionOfActivity P82 FINISHED
Object India NE NERFINISHED

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: [Ramakant Achrekar, regionOfActivity, India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: India
Context triple: [Ramakant Achrekar, regionOfActivity, India]
  • A. India
    "India" is a popular song by American rapper Lil Durk, known for its melodic style and romantic themes.
  • B. India chosen
    India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
  • C. India
    "India" is a 1969 Argentine erotic drama film directed by Armando Bó and starring Isabel Sarli, known for its sensual themes and iconic status in Latin American cult cinema.
  • D. Inde
    The Inde is a small river in western Germany and eastern Belgium that flows through North Rhine-Westphalia before joining the Rur.
  • E. Bharata (India)
    Bharata (India) is the traditional Sanskrit name for the Indian subcontinent and the Republic of India, rooted in ancient Hindu texts and cultural heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee88522e948190b9fa5a3587f32eae completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.