Triple

T25594472
Position Surface form Disambiguated ID Type / Status
Subject Northumberland—Peterborough South E641609 entity
Predicate predecessorRiding P78214 FINISHED
Object Clarington—Scugog—Uxbridge
Clarington—Scugog—Uxbridge was a former federal electoral district in Ontario, Canada, that included the municipalities of Clarington, Scugog, and Uxbridge.
E1691501 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: Clarington—Scugog—Uxbridge | Statement: [Northumberland—Peterborough South, predecessorRiding, Clarington—Scugog—Uxbridge]
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: Clarington—Scugog—Uxbridge
Triple: [Northumberland—Peterborough South, predecessorRiding, Clarington—Scugog—Uxbridge]
Generated description
Clarington—Scugog—Uxbridge was a former federal electoral district in Ontario, Canada, that included the municipalities of Clarington, Scugog, and Uxbridge.

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_69e75dc60d108190b7e2419e36b0134b completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f96f9c408190a0507dc73bd69a82 completed May 2, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10c13827fc81909ecffe4eba20f9f6 completed May 22, 2026, 8:48 p.m.
NEDg Description generation batch_6a10c20f4f748190bc19a702f0788086 completed May 22, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_6a10c2b0c540819086fe2b0fef3f76d1 completed May 22, 2026, 8:55 p.m.
Created at: April 21, 2026, 4:26 p.m.