Triple

T28539023

Position	Surface form	Disambiguated ID	Type / Status
Subject	Naval School of Brazil	`E722242`	entity
Predicate	roleInBrazilianNavy	`P101660`	FINISHED
Object	principal officer training academy The principal officer training academy is the Brazilian Navy’s main institution responsible for educating and preparing its future commissioned officers for leadership and command roles.	`E1821719`	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: principal officer training academy | Statement: [Naval School of Brazil, roleInBrazilianNavy, principal officer training academy]

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: principal officer training academy
Triple: [Naval School of Brazil, roleInBrazilianNavy, principal officer training academy]

Generated description

The principal officer training academy is the Brazilian Navy’s main institution responsible for educating and preparing its future commissioned officers for leadership and command roles.

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

Target predicate: roleInBrazilianNavy
Context triple: [Naval School of Brazil, roleInBrazilianNavy, principal officer training academy]

A. equivalentRankInPortugueseNavy
Indicates that two military ranks are considered equivalent in status or hierarchy within the Portuguese Navy.
B. militaryRole
Indicates the specific function, position, or duty an entity holds within a military organization or context.
C. roleInUSCG
Indicates that one entity holds or held a specific role, position, or duty within the United States Coast Guard in relation to the other entity.
D. isMilitaryStaffOf
Indicates that one entity serves as military personnel working for, or assigned to, another entity (such as an organization, unit, or individual).
E. hasNavalRole chosen
Indicates that an entity holds or is assigned a role, function, or duty within a naval or maritime context.
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_69f01a5e42348190b1ffbca26e739c84`	completed	April 28, 2026, 2:24 a.m.
NER	Named-entity recognition	`batch_69fe6e492bf8819080b25221d13445ea`	completed	May 8, 2026, 11:14 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1cac65c3f88190a5f05101d9853551`	completed	May 31, 2026, 9:47 p.m.
NEDg	Description generation	`batch_6a1cacd14e048190b6a26e9b5750dff8`	completed	May 31, 2026, 9:49 p.m.
NED2	Entity disambiguation (via description)	`batch_6a1cadd59d708190b2544d11d23603e0`	completed	May 31, 2026, 9:53 p.m.
PD	Predicate disambiguation	`batch_69fe6dd33a6881908fe9bbbc184cab51`	completed	May 8, 2026, 11:12 p.m.

Created at: April 28, 2026, 3:34 a.m.