Triple

T35958947
Position Surface form Disambiguated ID Type / Status
Subject SS Kamloops wreck E1039943 entity
Predicate hasOriginalOwner P46946 FINISHED
Object Canada Steamship Lines
Canada Steamship Lines is a major Canadian shipping company known for operating a large fleet of cargo vessels on the Great Lakes and St. Lawrence Seaway.
 E2181813 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: Canada Steamship Lines | Statement: [SS Kamloops wreck, hasOriginalOwner, Canada Steamship Lines]
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: Canada Steamship Lines
Triple: [SS Kamloops wreck, hasOriginalOwner, Canada Steamship Lines]
Generated description
Canada Steamship Lines is a major Canadian shipping company known for operating a large fleet of cargo vessels on the Great Lakes and St. Lawrence Seaway.

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_69f76e26b21081909fd9ffb3aff6c77a completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7abf73a2481909cb12971a0765cc4 completed May 3, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39b415a998819092a9ca9dfc366bf5 completed June 22, 2026, 10:15 p.m.
NEDg Description generation batch_6a39b59c9300819084cafedbbdae1436 completed June 22, 2026, 10:22 p.m.
NED2 Entity disambiguation (via description) batch_6a39b5f7637c8190b7217e07e9042781 completed June 22, 2026, 10:23 p.m.
Created at: May 3, 2026, 4:07 p.m.