Triple

T37297293
Position Surface form Disambiguated ID Type / Status
Subject Niagara Regional Council E925838 entity
Predicate governsArea P760 FINISHED
Object Township of West Lincoln
The Township of West Lincoln is a rural municipality in Ontario, Canada, located within the Niagara Region and known for its agricultural landscape and small communities.
E2221413 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: Township of West Lincoln | Statement: [Niagara Regional Council, governsArea, Township of West Lincoln]
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: Township of West Lincoln
Triple: [Niagara Regional Council, governsArea, Township of West Lincoln]
Generated description
The Township of West Lincoln is a rural municipality in Ontario, Canada, located within the Niagara Region and known for its agricultural landscape and small communities.

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_69f76eb0f86c819098dee07393e69ec3 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5aec70a081909b5badcb0c98a527 completed May 6, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40514989488190873d45fbb36f819c completed June 27, 2026, 10:40 p.m.
NEDg Description generation batch_6a4052740ba08190aadef914c8fc996d completed June 27, 2026, 10:45 p.m.
NED2 Entity disambiguation (via description) batch_6a4057ce44a8819099cd8d1e99077184 completed June 27, 2026, 11:07 p.m.
Created at: May 3, 2026, 4:16 p.m.