Triple

T31615098
Position Surface form Disambiguated ID Type / Status
Subject Bruges patriciate E806734 entity
Predicate relatedTo P37 FINISHED
Object Flemish patriciate
The Flemish patriciate was the hereditary urban elite of medieval and early modern Flanders, composed of wealthy merchant and noble families who dominated city governments, trade, and civic life.
E1968645 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: Flemish patriciate | Statement: [Bruges patriciate, relatedTo, Flemish patriciate]
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: Flemish patriciate
Triple: [Bruges patriciate, relatedTo, Flemish patriciate]
Generated description
The Flemish patriciate was the hereditary urban elite of medieval and early modern Flanders, composed of wealthy merchant and noble families who dominated city governments, trade, and civic life.

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_69f348d61f2081908cad94bc9ffbb671 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a8a9d810819095b90b4c1292d0df completed May 3, 2026, 1:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b566319a08190ab371092cb695bb8 completed June 12, 2026, 12:44 a.m.
NEDg Description generation batch_6a2b5858068081908f55d292d9cf99d3 completed June 12, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_6a2b59296e788190a762da61d0b14ab6 completed June 12, 2026, 12:56 a.m.
Created at: April 30, 2026, 10:38 p.m.