Triple

T27923395

Position	Surface form	Disambiguated ID	Type / Status
Subject	Autoworld Brussels	`E706265`	entity
Predicate	nearbyAttraction	`P3449`	FINISHED
Object	Art & History Museum Brussels The Art & History Museum in Brussels is one of Belgium’s largest and most important museums, showcasing extensive collections of archaeology, decorative arts, and cultural artifacts from around the world.	`E1798667`	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: Art & History Museum Brussels | Statement: [Autoworld Brussels, nearbyAttraction, Art & History Museum Brussels]

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: Art & History Museum Brussels
Triple: [Autoworld Brussels, nearbyAttraction, Art & History Museum Brussels]

Generated description

The Art & History Museum in Brussels is one of Belgium’s largest and most important museums, showcasing extensive collections of archaeology, decorative arts, and cultural artifacts from around the world.

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_69ef96b6cc808190aab19fb18b235f4b`	completed	April 27, 2026, 5:02 p.m.
NER	Named-entity recognition	`batch_69f63a5f5d7081908d2e1c1e802ade36`	completed	May 2, 2026, 5:54 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a15b8851fa081909c418b547d1b1492`	completed	May 26, 2026, 3:13 p.m.
NEDg	Description generation	`batch_6a15b97876388190882b42942fc86c3c`	completed	May 26, 2026, 3:17 p.m.
NED2	Entity disambiguation (via description)	`batch_6a15ba15ed6481908eadd24fa99efccf`	completed	May 26, 2026, 3:19 p.m.

Created at: April 27, 2026, 6:58 p.m.