Triple

T29407926

Position	Surface form	Disambiguated ID	Type / Status
Subject	Legislative Palace of Uruguay	`E745818`	entity
Predicate	hasLibrary	`P35`	FINISHED
Object	Library of the Legislative Power The Library of the Legislative Power is the official parliamentary library of Uruguay, providing research support and legislative information services to the country’s lawmakers and parliamentary staff.	`E1865998`	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: Library of the Legislative Power | Statement: [Legislative Palace of Uruguay, hasLibrary, Library of the Legislative Power]

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: Library of the Legislative Power
Triple: [Legislative Palace of Uruguay, hasLibrary, Library of the Legislative Power]

Generated description

The Library of the Legislative Power is the official parliamentary library of Uruguay, providing research support and legislative information services to the country’s lawmakers and parliamentary staff.

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_69f0a79eb7d081908c67197a5f347e68`	completed	April 28, 2026, 12:27 p.m.
NER	Named-entity recognition	`batch_69f66a35eeb48190872f62f2e455ffee`	completed	May 2, 2026, 9:18 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a25d91c73348190ac34263384ce635c`	completed	June 7, 2026, 8:48 p.m.
NEDg	Description generation	`batch_6a25db1025b88190956b161e170f38dc`	completed	June 7, 2026, 8:56 p.m.
NED2	Entity disambiguation (via description)	`batch_6a25decd764081909cf8136e27bd6586`	completed	June 7, 2026, 9:12 p.m.

Created at: April 28, 2026, 2:55 p.m.