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.