Triple

T29412652
Position Surface form Disambiguated ID Type / Status
Subject Ottawa street network E745936 entity
Predicate includesMajorCorridor P30026 FINISHED
Object St. Laurent Boulevard
St. Laurent Boulevard is a major north–south arterial road in Ottawa, Ontario, lined with commercial, residential, and industrial areas and serving as a key transportation corridor in the city.
E1868380 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: St. Laurent Boulevard | Statement: [Ottawa street network, includesMajorCorridor, St. Laurent Boulevard]
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: St. Laurent Boulevard
Triple: [Ottawa street network, includesMajorCorridor, St. Laurent Boulevard]
Generated description
St. Laurent Boulevard is a major north–south arterial road in Ottawa, Ontario, lined with commercial, residential, and industrial areas and serving as a key transportation corridor in the city.

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_69f0a79f6d5c8190a350baed0157e06f completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69ffc4aa77508190b2176176156deb86 completed May 9, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25f1017eb0819080506efc9cfce9ca completed June 7, 2026, 10:30 p.m.
NEDg Description generation batch_6a25f6362f6081909a04ef3fbd5bb67f completed June 7, 2026, 10:52 p.m.
NED2 Entity disambiguation (via description) batch_6a25fa9d98d08190aef6fb0a1779f501 completed June 7, 2026, 11:11 p.m.
Created at: April 28, 2026, 2:58 p.m.