Triple

T37501851
Position Surface form Disambiguated ID Type / Status
Subject Canada–United States border crossings E931983 entity
Predicate subjectTo P258 FINISHED
Object Canada–United States immigration laws
Canada–United States immigration laws are the binational legal frameworks and regulations that govern who may enter, stay, and work across the shared border between Canada and the United States.
E2230793 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: Canada–United States immigration laws | Statement: [Canada–United States border crossings, subjectTo, Canada–United States immigration laws]
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: Canada–United States immigration laws
Triple: [Canada–United States border crossings, subjectTo, Canada–United States immigration laws]
Generated description
Canada–United States immigration laws are the binational legal frameworks and regulations that govern who may enter, stay, and work across the shared border between Canada and the United States.

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_69f76ec5268481909ea01c73aeeefd42 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba3a056ec819089c1ed3ed85c6bfc completed May 6, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4095315a2081908e69968c04260169 completed June 28, 2026, 3:29 a.m.
NEDg Description generation batch_6a40964bda4081908a5275f82c47cb72 completed June 28, 2026, 3:34 a.m.
NED2 Entity disambiguation (via description) batch_6a40971f12e081909994053bef8f6175 completed June 28, 2026, 3:38 a.m.
Created at: May 3, 2026, 4:17 p.m.