Triple

T23388864
Position Surface form Disambiguated ID Type / Status
Subject Fifty-second Amendment to the Constitution of India E593955 entity
Predicate enforcedIn P15565 FINISHED
Object Republic of 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: Republic of India | Statement: [Fifty-second Amendment to the Constitution of India, enforcedIn, Republic of India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Republic of India
Context triple: [Fifty-second Amendment to the Constitution of India, enforcedIn, Republic of India]
  • A. La India
    La India is a Puerto Rican-American salsa singer renowned for her powerful voice and influential contributions to Latin music.
  • B. Indya
    Indya is the given name of Indya Moore, an American actor and model best known for their role on the television series "Pose."
  • C. India chosen
    India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
  • D. India
    "India" is a popular song by American rapper Lil Durk, known for its melodic style and romantic themes.
  • E. 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.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a499bad88190afca1afb2e3fddb0 completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:35 p.m.