Triple

T12553684

Position	Surface form	Disambiguated ID	Type / Status
Subject	Street Judge	`E300159`	entity
Predicate	requiresTrainingAt	`P105863`	FINISHED
Object	Academy of Law	`E989745`	NE FINISHED

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: Academy of Law | Statement: [Street Judge, requiresTrainingAt, Academy of Law]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Academy of Law
Context triple: [Street Judge, requiresTrainingAt, Academy of Law]

A. Academy of Law chosen
The Academy of Law is the elite training institution where future Street Judges are educated and prepared for service in the Judge Dredd universe.
B. Institute of Law
The Institute of Law is a legal education and research faculty within the Peoples’ Friendship University of Russia, offering programs in law and related disciplines.
C. Institute of Law
The Institute of Law is a legal education and research center at Birzeit University that focuses on advancing legal scholarship, training, and policy development in Palestine.
D. Judicial College
The Judicial College is the body responsible for training and supporting judges and magistrates in England and Wales.
E. Caruso School of Law
Caruso School of Law is the law school of Pepperdine University, known for its programs in dispute resolution, ethics, and faith-based legal education.
F. None of above.
G. Unsure - the case is ambiguous/there is not enough information to decide.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: requiresTrainingAt
Context triple: [Street Judge, requiresTrainingAt, Academy of Law]

A. requiresTraining
Indicates that one entity can only be properly or legitimately used, performed, or engaged with if the other entity has first received appropriate training.
B. hasTrainingFor
Indicates that an entity has received or possesses training that prepares it for performing a specific task, role, or function.
C. leadsToTrainingAt
Indicates that one entity causes, results in, or serves as a pathway to another entity undergoing training.
D. requiresCoach
Indicates that one entity depends on or must have the involvement, guidance, or supervision of a coach in order for an action, process, or state to occur or be valid.
E. requiresPractice
Indicates that performing or mastering one entity depends on engaging in repeated practice or training involving another entity.
F. None of above. chosen

Provenance (5 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_69d6ada707008190aaec1238117c9379`	completed	April 8, 2026, 7:33 p.m.
NER	Named-entity recognition	`batch_69d95f5507b481908d13cc317b7402f6`	completed	April 10, 2026, 8:36 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69f65eb538388190b9fb78306fbab2f3`	completed	May 2, 2026, 8:29 p.m.
PD	Predicate disambiguation	`batch_69d95410d0b0819097646edd1b837104`	completed	April 10, 2026, 7:48 p.m.
PDg	Predicate description generation	`batch_69d95f5148948190946a575d812b329d`	completed	April 10, 2026, 8:36 p.m.

Created at: April 8, 2026, 9:58 p.m.