Triple

T23718992
Position Surface form Disambiguated ID Type / Status
Subject Palace of the Prince-Bishops of Liège E586086 entity
Predicate currentUse P2156 FINISHED
Object Palace of Justice of Liège
The Palace of Justice of Liège is a major judicial complex in Liège, Belgium, housed in the historic former residence of the city’s prince-bishops.
E586086 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: Palace of Justice of Liège | Statement: [Palace of the Prince-Bishops of Liège, currentUse, Palace of Justice of Liège]
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: Palace of Justice of Liège
Triple: [Palace of the Prince-Bishops of Liège, currentUse, Palace of Justice of Liège]
Generated description
The Palace of Justice of Liège is a major judicial complex in Liège, Belgium, housed in the historic former residence of the city’s prince-bishops.

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_69e24906fb108190a6898751e46bdc11 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b77e2dc081908aef7a4c9b188dbd completed April 29, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f6964c4e881909f7a027c354c2b90 completed May 21, 2026, 8:21 p.m.
NEDg Description generation batch_6a0f6d3de27c8190b3cab02a1dfce6ae completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6e38cf648190b30122be93c70685 completed May 21, 2026, 8:42 p.m.
Created at: April 17, 2026, 6:59 p.m.