Triple

T20747705
Position Surface form Disambiguated ID Type / Status
Subject British Columbia Highway 91 E510629 entity
Predicate hasJunctionWith P1018 FINISHED
Object Highway 10
Highway 10 is a provincial highway in British Columbia, Canada, that serves as an important east–west route through the Metro Vancouver region.
 E2292194 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 10 | Statement: [British Columbia Highway 91, hasJunctionWith, Highway 10]
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 10
Triple: [British Columbia Highway 91, hasJunctionWith, Highway 10]
Generated description
Highway 10 is a provincial highway in British Columbia, Canada, that serves as an important east–west route through the Metro Vancouver 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c226fbf881909794eff3ee9e206b completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5cd1fe4a088190831c50d60d4cbc9c completed July 19, 2026, 1:32 p.m.
NEDg Description generation batch_6a5cd2c479188190ad94a273b5d6c4bd completed July 19, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_6a5cd3dea28c8190a037c66f1ea7fc16 completed July 19, 2026, 1:40 p.m.
Created at: April 16, 2026, 12:33 p.m.