Triple

T23821300

Position	Surface form	Disambiguated ID	Type / Status
Subject	U.S. Army warrant officers	`E589243`	entity
Predicate	initialTrainingCourse	`P96696`	FINISHED
Object	Warrant Officer Candidate School Warrant Officer Candidate School is the U.S. Army’s foundational training program that prepares selected soldiers and civilians to become warrant officers and technical leaders.	`E1606841`	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: Warrant Officer Candidate School | Statement: [U.S. Army warrant officers, initialTrainingCourse, Warrant Officer Candidate School]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Warrant Officer Candidate School
Triple: [U.S. Army warrant officers, initialTrainingCourse, Warrant Officer Candidate School]

Generated description

Warrant Officer Candidate School is the U.S. Army’s foundational training program that prepares selected soldiers and civilians to become warrant officers and technical leaders.

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

Target predicate: initialTrainingCourse
Context triple: [U.S. Army warrant officers, initialTrainingCourse, Warrant Officer Candidate School]

A. trainingIn
Indicates that one entity is undergoing or receiving training within the context, program, or domain specified by another entity.
B. providesTrainingFor
Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
C. trainingSystem
Indicates a system or framework used to train, instruct, or develop skills or knowledge in a target entity.
D. receivedTrainingIn chosen
Indicates that one entity has undergone or been provided with training or instruction in a particular field, skill, or subject associated with another entity.
E. trainingStandard
Indicates that one entity defines or adheres to an established set of criteria, procedures, or benchmarks used for training or instruction of another entity.
F. None of above.

Provenance (6 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_69e25d18619081909c7fb89d8926f14a`	completed	April 17, 2026, 4:17 p.m.
NER	Named-entity recognition	`batch_69f1c7af4d4481908095348fae9e54f4`	completed	April 29, 2026, 8:56 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0f699864788190b35a62768c484298`	completed	May 21, 2026, 8:22 p.m.
NEDg	Description generation	`batch_6a0f6d3f59308190a05f96b74183c51f`	completed	May 21, 2026, 8:38 p.m.
NED2	Entity disambiguation (via description)	`batch_6a0f6dc831c08190b55834bbdd1d85a3`	completed	May 21, 2026, 8:40 p.m.
PD	Predicate disambiguation	`batch_69f156036ad48190bc2ffdaf39218bcb`	completed	April 29, 2026, 12:51 a.m.

Created at: April 17, 2026, 7:59 p.m.