Triple

T36077792
Position Surface form Disambiguated ID Type / Status
Subject Quebec City park system E1043545 entity
Predicate hasPart P35 FINISHED
Object Parc linéaire de la Rivière-Beauport
Parc linéaire de la Rivière-Beauport is an urban linear park in Quebec City that follows the Rivière Beauport, offering trails and green spaces for recreation and nature appreciation.
E2170031 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: Parc linéaire de la Rivière-Beauport | Statement: [Quebec City park system, hasPart, Parc linéaire de la Rivière-Beauport]
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: Parc linéaire de la Rivière-Beauport
Triple: [Quebec City park system, hasPart, Parc linéaire de la Rivière-Beauport]
Generated description
Parc linéaire de la Rivière-Beauport is an urban linear park in Quebec City that follows the Rivière Beauport, offering trails and green spaces for recreation and nature appreciation.

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_69f76e3154908190a6f702671c2bea08 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b23aba04819081d716ac5f7421fc completed May 3, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38ddf9b75881909559c395ee69a03c completed June 22, 2026, 7:02 a.m.
NEDg Description generation batch_6a38ea9299b881908c77fc1e9aa2e329 completed June 22, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_6a38eceea1ec8190a5f3a158d37b30ba completed June 22, 2026, 8:06 a.m.
Created at: May 3, 2026, 4:08 p.m.