Triple

T36443579
Position Surface form Disambiguated ID Type / Status
Subject Lac-Beauport E897802 entity
Predicate governingBody P46 FINISHED
Object Municipality of Lac-Beauport council
The Municipality of Lac-Beauport council is the local elected governing body responsible for municipal administration, services, and regulations in Lac-Beauport, Quebec.
E2183911 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: Municipality of Lac-Beauport council | Statement: [Lac-Beauport, governingBody, Municipality of Lac-Beauport council]
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: Municipality of Lac-Beauport council
Triple: [Lac-Beauport, governingBody, Municipality of Lac-Beauport council]
Generated description
The Municipality of Lac-Beauport council is the local elected governing body responsible for municipal administration, services, and regulations in Lac-Beauport, Quebec.

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_69f76e5720b481908f8177ac24a7560b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bd89a94c8190b6349901c54a1cff completed May 3, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39c41f1ea88190a9ed0877c513dbf9 completed June 22, 2026, 11:24 p.m.
NEDg Description generation batch_6a39c4c69e8c81909a8d39b83926666f completed June 22, 2026, 11:27 p.m.
NED2 Entity disambiguation (via description) batch_6a39c59ba6d48190a285f5b0f1adcdda completed June 22, 2026, 11:30 p.m.
Created at: May 3, 2026, 4:10 p.m.