Triple

T22639268
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 83 E558775 entity
Predicate connectsTo P845 FINISHED
Object Manitoba Highway 83
Manitoba Highway 83 is a north–south provincial highway in Manitoba, Canada, that continues the route of U.S. Route 83 and serves as a key corridor through the province’s western region.
 E1655152 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: Manitoba Highway 83 | Statement: [U.S. Route 83, connectsTo, Manitoba Highway 83]
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: Manitoba Highway 83
Triple: [U.S. Route 83, connectsTo, Manitoba Highway 83]
Generated description
Manitoba Highway 83 is a north–south provincial highway in Manitoba, Canada, that continues the route of U.S. Route 83 and serves as a key corridor through the province’s western region.

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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17010aa4c8190a9f0cf7eb4c066cd completed April 29, 2026, 2:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1032ccb9e88190827d052906d8429a completed May 22, 2026, 10:41 a.m.
NEDg Description generation batch_6a1033999eb8819093313456a2a6fb1b completed May 22, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_6a10344ac26c81908a031f43caf710b5 completed May 22, 2026, 10:47 a.m.
Created at: April 17, 2026, 3:04 p.m.