Triple

T30473101
Position Surface form Disambiguated ID Type / Status
Subject BNA Building of the Year public prize 2014 E775360 entity
Predicate partOf P40 FINISHED
Object BNA Building of the Year awards
The BNA Building of the Year awards are annual Dutch architecture prizes that recognize outstanding building projects and design excellence in the Netherlands.
E1916852 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: BNA Building of the Year awards | Statement: [BNA Building of the Year public prize 2014, partOf, BNA Building of the Year awards]
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: BNA Building of the Year awards
Triple: [BNA Building of the Year public prize 2014, partOf, BNA Building of the Year awards]
Generated description
The BNA Building of the Year awards are annual Dutch architecture prizes that recognize outstanding building projects and design excellence in the Netherlands.

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_69f22497341481909c21ba329fadaa6b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68716689c81909ec5cd834b5bff00 completed May 2, 2026, 11:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27ac20b53c8190b682b91027969aeb completed June 9, 2026, 6:01 a.m.
NEDg Description generation batch_6a27adabe9f0819084d8e5c2fb9814be completed June 9, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_6a27ae325ec08190b25d909583210fc3 completed June 9, 2026, 6:09 a.m.
Created at: April 29, 2026, 8:11 p.m.