Triple

T22331249
Position Surface form Disambiguated ID Type / Status
Subject Wellington North E552026 entity
Predicate hasSettlement P1068 FINISHED
Object Mount Forest
Mount Forest is a small rural community in southwestern Ontario, Canada, known for its agricultural surroundings and role as a local service centre.
 E1531404 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: Mount Forest | Statement: [Wellington North, hasSettlement, Mount Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mount Forest
Context triple: [Wellington North, hasSettlement, Mount Forest]
  • A. Caledon
    Caledon is a small town in South Africa’s Western Cape province, known for its hot springs, surrounding farmlands, and proximity to the Overberg region.
  • B. Caledon
    Caledon is a largely rural town in southern Ontario, Canada, known for its scenic landscapes and inclusion within the Greater Toronto Area.
  • C. Valleyfield
    Valleyfield is a locality known for its association with the historic Valleyfield mining area.
  • D. Westmark
    Westmark is a young adult fantasy novel by Lloyd Alexander that follows a printer’s apprentice caught up in political upheaval and revolution in a fictional European-style kingdom.
  • E. Botwood
    Botwood is a small coastal town in central Newfoundland and Labrador, Canada, historically known as a key seaport and World War II military base.
  • 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: Mount Forest
Triple: [Wellington North, hasSettlement, Mount Forest]
Generated description
Mount Forest is a small rural community in southwestern Ontario, Canada, known for its agricultural surroundings and role as a local service centre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mount Forest
Target entity description: Mount Forest is a small rural community in southwestern Ontario, Canada, known for its agricultural surroundings and role as a local service centre.
  • A. Caledon
    Caledon is a small town in South Africa’s Western Cape province, known for its hot springs, surrounding farmlands, and proximity to the Overberg region.
  • B. Caledon
    Caledon is a largely rural town in southern Ontario, Canada, known for its scenic landscapes and inclusion within the Greater Toronto Area.
  • C. Valleyfield
    Valleyfield is a locality known for its association with the historic Valleyfield mining area.
  • D. Westmark
    Westmark is a young adult fantasy novel by Lloyd Alexander that follows a printer’s apprentice caught up in political upheaval and revolution in a fictional European-style kingdom.
  • E. Botwood
    Botwood is a small coastal town in central Newfoundland and Labrador, Canada, historically known as a key seaport and World War II military base.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577b555c8190ac61c026ee7dfb2b completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad526a268819084cd7df7d7de1a23 completed May 18, 2026, 9 a.m.
NEDg Description generation batch_6a0ad992b43c8190b0e409d64db83308 completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0adac48bec8190989dd7c5e28d283a completed May 18, 2026, 9:24 a.m.
Created at: April 16, 2026, 8:43 p.m.