Triple

T21940914
Position Surface form Disambiguated ID Type / Status
Subject Court of Justice of the Federal District and Territories E541816 entity
Predicate shortName P43 FINISHED
Object TJDFT 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: TJDFT | Statement: [Court of Justice of the Federal District and Territories, shortName, TJDFT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TJDFT
Context triple: [Court of Justice of the Federal District and Territories, shortName, TJDFT]
  • A. density functional theory
    Density functional theory is a quantum mechanical method for calculating the electronic structure and properties of many-body systems, widely used in physics, chemistry, and materials science.
  • B. Kohn–Sham equations
    The Kohn–Sham equations are a set of self-consistent single-particle equations in density functional theory that map an interacting many-electron system onto a fictitious non-interacting system with the same electron density.
  • C. t-J model
    The t-J model is a theoretical framework in condensed matter physics used to describe strongly correlated electrons on a lattice, particularly in the study of high-temperature superconductivity.
  • D. jellium model
    The jellium model is a simplified theoretical model in condensed matter physics that treats conduction electrons as a uniform gas moving in a continuous positive background to study the electronic properties of metals.
  • E. WIEN2k
    WIEN2k is a computational physics software package that performs electronic structure calculations of solids using density functional theory and the full-potential (linearized) augmented plane-wave method.
  • 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: TJDFT
Target entity description: TJDFT is the acronym for the Court of Justice of the Federal District and Territories, the judicial body responsible for overseeing state-level justice in Brazil’s Federal District and associated territories.
  • A. density functional theory
    Density functional theory is a quantum mechanical method for calculating the electronic structure and properties of many-body systems, widely used in physics, chemistry, and materials science.
  • B. Kohn–Sham equations
    The Kohn–Sham equations are a set of self-consistent single-particle equations in density functional theory that map an interacting many-electron system onto a fictitious non-interacting system with the same electron density.
  • C. t-J model
    The t-J model is a theoretical framework in condensed matter physics used to describe strongly correlated electrons on a lattice, particularly in the study of high-temperature superconductivity.
  • D. jellium model
    The jellium model is a simplified theoretical model in condensed matter physics that treats conduction electrons as a uniform gas moving in a continuous positive background to study the electronic properties of metals.
  • E. WIEN2k
    WIEN2k is a computational physics software package that performs electronic structure calculations of solids using density functional theory and the full-potential (linearized) augmented plane-wave method.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12422245c8190af128b29e2d9c1fc completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:55 p.m.