Triple

T31070514
Position Surface form Disambiguated ID Type / Status
Subject Lords of Gruuthuse E791803 entity
Predicate connectedTo P37 FINISHED
Object Burgundian court in Bruges
The Burgundian court in Bruges was a major late medieval princely residence and cultural center where the dukes of Burgundy and their entourage fostered art, politics, and courtly life in the Low Countries.
E1944634 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: Burgundian court in Bruges | Statement: [Lords of Gruuthuse, connectedTo, Burgundian court in Bruges]
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: Burgundian court in Bruges
Triple: [Lords of Gruuthuse, connectedTo, Burgundian court in Bruges]
Generated description
The Burgundian court in Bruges was a major late medieval princely residence and cultural center where the dukes of Burgundy and their entourage fostered art, politics, and courtly life in the Low Countries.

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_69f224cc0c5c81908404f087bff92997 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f695b566388190a0e6018bf397aa67 completed May 3, 2026, 12:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a292b1e684481908feeff3f1c0f9e59 completed June 10, 2026, 9:15 a.m.
NEDg Description generation batch_6a292cf2e6b48190b6ace8e4d363f81b completed June 10, 2026, 9:22 a.m.
NED2 Entity disambiguation (via description) batch_6a292d7043b08190b4670cf9665c933e completed June 10, 2026, 9:25 a.m.
Created at: April 29, 2026, 9:01 p.m.