Triple

T32927124
Position Surface form Disambiguated ID Type / Status
Subject Belgian constitutional institutions E842301 entity
Predicate include P1393 FINISHED
Object Judicial Order of Belgium
The Judicial Order of Belgium is the branch of the Belgian state responsible for administering justice through its courts and tribunals, ensuring the application and interpretation of laws.
E217287 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: Judicial Order of Belgium | Statement: [Belgian constitutional institutions, include, Judicial Order of Belgium]
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: Judicial Order of Belgium
Triple: [Belgian constitutional institutions, include, Judicial Order of Belgium]
Generated description
The Judicial Order of Belgium is the branch of the Belgian state responsible for administering justice through its courts and tribunals, ensuring the application and interpretation of laws.

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_69f34948adfc8190a937f1f622783c0b completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d0db14cc81908d797b77e4ebe169 completed May 3, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34dab1b9b881909aab3aed3f8b25e6 completed June 19, 2026, 5:59 a.m.
NEDg Description generation batch_6a34db23f93881908c7b208b3706a97c completed June 19, 2026, 6:01 a.m.
NED2 Entity disambiguation (via description) batch_6a34db921674819097c83f50a86d03c1 completed June 19, 2026, 6:02 a.m.
Created at: May 1, 2026, 1:20 a.m.