Triple

T23137164
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Science, Technology and Innovation (Brazil) E577353 entity
Predicate shortName P43 FINISHED
Object MCTI NE NERFINISHED

How this triple was built (3 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: MCTI | Statement: [Ministry of Science, Technology and Innovation (Brazil), shortName, MCTI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MCTI
Context triple: [Ministry of Science, Technology and Innovation (Brazil), shortName, MCTI]
  • A. MFTI
    MFTI is a leading Russian university renowned for its rigorous training and research in physics, mathematics, and related technical sciences.
  • B. MTI
    MTI is a research and education institute focused on improving surface transportation policy, management, and safety, based at San José State University.
  • C. MTI
    MTI is a major theatrical licensing agency that represents and distributes performance rights for a wide range of popular musicals to theaters around the world.
  • D. MCTC
    MCTC is the acronym for the Municipal Circuit Trial Courts, a lower-level trial court in the Philippines that handles minor civil and criminal cases within grouped municipalities.
  • E. MCTS
    MCTS is a heuristic search algorithm that uses randomized simulations to efficiently explore large decision trees, widely applied in game-playing AI and other complex planning problems.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MCTI
Target entity description: MCTI is Brazil's federal Ministry of Science, Technology and Innovation, responsible for formulating and implementing national policies in scientific research, technological development, and innovation.
  • A. MFTI
    MFTI is a leading Russian university renowned for its rigorous training and research in physics, mathematics, and related technical sciences.
  • B. MTI
    MTI is a research and education institute focused on improving surface transportation policy, management, and safety, based at San José State University.
  • C. MTI
    MTI is a major theatrical licensing agency that represents and distributes performance rights for a wide range of popular musicals to theaters around the world.
  • D. MCTC
    MCTC is the acronym for the Municipal Circuit Trial Courts, a lower-level trial court in the Philippines that handles minor civil and criminal cases within grouped municipalities.
  • E. MCTS
    MCTS is a heuristic search algorithm that uses randomized simulations to efficiently explore large decision trees, widely applied in game-playing AI and other complex planning problems.
  • F. None of above. chosen

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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8c33308190a44f98a7aab3b670 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.