Triple

T20206117
Position Surface form Disambiguated ID Type / Status
Subject Cassiar Highway E493355 entity
Predicate officialName P66 FINISHED
Object Highway 37
Highway 37, also known as the Cassiar Highway, is a remote north–south route in northwestern British Columbia that connects the Yellowhead Highway to the Alaska Highway through rugged, sparsely populated terrain.
E2291725 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 37 | Statement: [Cassiar Highway, officialName, Highway 37]
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 37
Triple: [Cassiar Highway, officialName, Highway 37]
Generated description
Highway 37, also known as the Cassiar Highway, is a remote north–south route in northwestern British Columbia that connects the Yellowhead Highway to the Alaska Highway through rugged, sparsely populated terrain.

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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d922ebc8190ae012da8ceba74dd completed April 20, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5c846c62bc819090258464e6ec5bc4 completed July 19, 2026, 8:01 a.m.
NEDg Description generation batch_6a5c85216f848190a905a237a95083e9 completed July 19, 2026, 8:04 a.m.
NED2 Entity disambiguation (via description) batch_6a5c85713e708190be341dbdd21a7897 completed July 19, 2026, 8:06 a.m.
Created at: April 11, 2026, 11:38 p.m.