Triple

T2078548
Position Surface form Disambiguated ID Type / Status
Subject Montmorency Falls E44985 entity
Predicate managedBy P86 FINISHED
Object Sépaq
Sépaq is Quebec’s provincial agency responsible for managing and promoting many of the province’s national parks, wildlife reserves, and major natural tourist attractions.
 E231810 NE FINISHED

How this triple was built (4 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: Sépaq | Statement: [Montmorency Falls, managedBy, Sépaq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sépaq
Context triple: [Montmorency Falls, managedBy, Sépaq]
  • A. Chachani
    Chachani is a large, dormant stratovolcano in southern Peru, overlooking the city of Arequipa and popular with high-altitude trekkers and climbers.
  • B. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • C. Ráquira
    Ráquira is a Colombian town renowned for its traditional pottery, colorful handicrafts, and vibrant colonial architecture.
  • D. Cauqui
    Cauqui is an indigenous Aymaran language variety spoken by a small community in the Andean region of Peru.
  • E. Pitalito
    Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Sépaq
Triple: [Montmorency Falls, managedBy, Sépaq]
Generated description
Sépaq is Quebec’s provincial agency responsible for managing and promoting many of the province’s national parks, wildlife reserves, and major natural tourist attractions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sépaq
Target entity description: Sépaq is Quebec’s provincial agency responsible for managing and promoting many of the province’s national parks, wildlife reserves, and major natural tourist attractions.
  • A. Chachani
    Chachani is a large, dormant stratovolcano in southern Peru, overlooking the city of Arequipa and popular with high-altitude trekkers and climbers.
  • B. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • C. Ráquira
    Ráquira is a Colombian town renowned for its traditional pottery, colorful handicrafts, and vibrant colonial architecture.
  • D. Cauqui
    Cauqui is an indigenous Aymaran language variety spoken by a small community in the Andean region of Peru.
  • E. Pitalito
    Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
  • F. None of above. chosen

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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba31eef8819081cf7f5334b59fe1 completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae27379d6c819088e01920aae0981a completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae28daeae88190bdb07375ab246981 completed March 9, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_69ae294b3d0081909ceabda14c6bcf5e completed March 9, 2026, 1:58 a.m.
Created at: March 4, 2026, 7:41 p.m.