Triple

T29381011

Position	Surface form	Disambiguated ID	Type / Status
Subject	Portuguese Army education system	`E745134`	entity
Predicate	hasComponent	`P35`	FINISHED
Object	Escola Prática de Artilharia Escola Prática de Artilharia is a specialized Portuguese Army training institution focused on the education and preparation of artillery officers and personnel.	`E1868354`	NE FINISHED

How this triple was built (2 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: Escola Prática de Artilharia | Statement: [Portuguese Army education system, hasComponent, Escola Prática de Artilharia]

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: Escola Prática de Artilharia
Triple: [Portuguese Army education system, hasComponent, Escola Prática de Artilharia]

Generated description

Escola Prática de Artilharia is a specialized Portuguese Army training institution focused on the education and preparation of artillery officers and personnel.

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_69f0a79cfd5481909b4dde750cb8d2c6`	completed	April 28, 2026, 12:27 p.m.
NER	Named-entity recognition	`batch_69f669ce489081909e5b3187581daa29`	completed	May 2, 2026, 9:17 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a25f0fe09908190aacf15594a88f3de`	completed	June 7, 2026, 10:30 p.m.
NEDg	Description generation	`batch_6a25f6362f6081909a04ef3fbd5bb67f`	completed	June 7, 2026, 10:52 p.m.
NED2	Entity disambiguation (via description)	`batch_6a25fa9d98d08190aef6fb0a1779f501`	completed	June 7, 2026, 11:11 p.m.

Created at: April 28, 2026, 2:35 p.m.