Triple

T21140648
Position Surface form Disambiguated ID Type / Status
Subject Gal Costa E520916 entity
Predicate notableWork P4 FINISHED
Object Índia 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: Índia | Statement: [Gal Costa, notableWork, Índia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Índia
Context triple: [Gal Costa, notableWork, Índia]
  • A. Inde
    The Inde is a small river in western Germany and eastern Belgium that flows through North Rhine-Westphalia before joining the Rur.
  • 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
    India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
  • D. India chosen
    "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.
  • E. India
    "India" is a popular song by American rapper Lil Durk, known for its melodic style and romantic themes.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235f77708190809d6aa3ee8056aa completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:57 p.m.