Triple

T36726090
Position Surface form Disambiguated ID Type / Status
Subject Berlaymont convent in Brussels E907199 entity
Predicate namedAfter P63 FINISHED
Object House of Berlaymont
The House of Berlaymont was a prominent noble family from the Low Countries that played an influential role in the political and military affairs of the Habsburg Netherlands.
E2196353 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: House of Berlaymont | Statement: [Berlaymont convent in Brussels, namedAfter, House of Berlaymont]
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: House of Berlaymont
Triple: [Berlaymont convent in Brussels, namedAfter, House of Berlaymont]
Generated description
The House of Berlaymont was a prominent noble family from the Low Countries that played an influential role in the political and military affairs of the Habsburg 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_69f76e746e4c8190a0d05cc6d57a643e completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c8a0989c8190b3d38f2f5e8146ec completed May 3, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a383d29608190b82ad36a19b70151 completed June 23, 2026, 7:39 a.m.
NEDg Description generation batch_6a3a3bf397348190a877e09a1c4ee7b0 completed June 23, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_6a3a3f9331b0819091090321f93edd95 completed June 23, 2026, 8:10 a.m.
Created at: May 3, 2026, 4:12 p.m.