Triple

T38412399
Position Surface form Disambiguated ID Type / Status
Subject Quebec national parks network E901512 entity
Predicate hasComponent P35 FINISHED
Object Parc national de Frontenac
Parc national de Frontenac is a protected natural area in southern Quebec known for its forests, wetlands, and outdoor recreation opportunities along the shores of Grand lac Saint-François.
E2282052 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 national de Frontenac | Statement: [Quebec national parks network, hasComponent, Parc national de Frontenac]
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 national de Frontenac
Triple: [Quebec national parks network, hasComponent, Parc national de Frontenac]
Generated description
Parc national de Frontenac is a protected natural area in southern Quebec known for its forests, wetlands, and outdoor recreation opportunities along the shores of Grand lac Saint-François.

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_69f76e61e79c81908b787d83b46ab92b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccd6568fc8190a0a48aec8f3b0575 completed May 7, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a420df64ebc8190a5fce4d636ce32ee completed June 29, 2026, 6:17 a.m.
NEDg Description generation batch_6a420fbed5908190805fd971f7d3f4e4 completed June 29, 2026, 6:25 a.m.
NED2 Entity disambiguation (via description) batch_6a42102a7ec48190aa501a5b0283bde8 completed June 29, 2026, 6:26 a.m.
Created at: May 3, 2026, 4:31 p.m.