Triple

T31047921
Position Surface form Disambiguated ID Type / Status
Subject Quebec law E791177 entity
Predicate hasMainCode P60019 FINISHED
Object Code of Professional Conduct statutes
The Code of Professional Conduct statutes are a set of legally binding rules in Quebec that govern the ethical and professional behavior of members of regulated professions.
E1942938 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: Code of Professional Conduct statutes | Statement: [Quebec law, hasMainCode, Code of Professional Conduct statutes]
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: Code of Professional Conduct statutes
Triple: [Quebec law, hasMainCode, Code of Professional Conduct statutes]
Generated description
The Code of Professional Conduct statutes are a set of legally binding rules in Quebec that govern the ethical and professional behavior of members of regulated professions.

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_69f224ca2fa881908a3ac5fedf207b90 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fff4d1fa8481909a3c2068c46d731d completed May 10, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_6a29185760648190ab61d2c8370b5cc6 completed June 10, 2026, 7:55 a.m.
NEDg Description generation batch_6a2918f4ee448190baf0697c0a4bac1c completed June 10, 2026, 7:57 a.m.
NED2 Entity disambiguation (via description) batch_6a291bbf5db88190b416bbf549343a86 completed June 10, 2026, 8:09 a.m.
Created at: April 29, 2026, 9 p.m.