Triple

T2210898
Position Surface form Disambiguated ID Type / Status
Subject Midland, Ontario E50914 entity
Predicate roadAccessVia P9041 FINISHED
Object Highway 93
Highway 93 is a provincial highway in Ontario, Canada, that serves as a key route connecting communities in the Midland area to the broader regional road network.
 E2293816 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: Highway 93 | Statement: [Midland, Ontario, roadAccessVia, Highway 93]
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: Highway 93
Triple: [Midland, Ontario, roadAccessVia, Highway 93]
Generated description
Highway 93 is a provincial highway in Ontario, Canada, that serves as a key route connecting communities in the Midland area to the broader regional road network.

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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfeb889081908cddf58a57b216df completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7b09be4b6c81908fe478d36749588b completed Aug. 11, 2026, 11:38 a.m.
NEDg Description generation batch_6a7b0c3918f8819098de98dd1768d394 completed Aug. 11, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_6a7b0dad120c8190a833dbdee538449d completed Aug. 11, 2026, 11:55 a.m.
Created at: March 4, 2026, 7:46 p.m.