Triple

T25404594
Position Surface form Disambiguated ID Type / Status
Subject Laurentian Valley E636517 entity
Predicate containsCommunity P8617 FINISHED
Object Stafford Twenty-Second Chute
Stafford Twenty-Second Chute is a small rural community located within the township of Laurentian Valley in Ontario, Canada.
 E1740510 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: Stafford Twenty-Second Chute | Statement: [Laurentian Valley, containsCommunity, Stafford Twenty-Second Chute]
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: Stafford Twenty-Second Chute
Triple: [Laurentian Valley, containsCommunity, Stafford Twenty-Second Chute]
Generated description
Stafford Twenty-Second Chute is a small rural community located within the township of Laurentian Valley in Ontario, Canada.

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_69e75db361d881908d8701c856da6413 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f584fd7b948190b2897d3813840792 completed May 2, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_6a120910b02481908de0571bb6c8eda9 completed May 23, 2026, 8:07 p.m.
NEDg Description generation batch_6a1209d4ee448190b8e3d8cdb44fc641 completed May 23, 2026, 8:11 p.m.
NED2 Entity disambiguation (via description) batch_6a120a4736688190939a60d04fe467e2 completed May 23, 2026, 8:12 p.m.
Created at: April 21, 2026, 1:52 p.m.