Triple

T33827222
Position Surface form Disambiguated ID Type / Status
Subject SS Empress of Britain (1955) E866988 entity
Predicate sisterShip P3142 FINISHED
Object SS Empress of England (1956)
SS Empress of England (1956) was a mid-20th-century Canadian Pacific ocean liner that primarily operated transatlantic passenger services before later being used for cruising.
E2071285 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: SS Empress of England (1956) | Statement: [SS Empress of Britain (1955), sisterShip, SS Empress of England (1956)]
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: SS Empress of England (1956)
Triple: [SS Empress of Britain (1955), sisterShip, SS Empress of England (1956)]
Generated description
SS Empress of England (1956) was a mid-20th-century Canadian Pacific ocean liner that primarily operated transatlantic passenger services before later being used for cruising.

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_69f34991dd248190a659541588506b3c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7001d25608190a7b028bdbfa6e221 completed May 3, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36760d7218819086b6f64357b5a4b9 completed June 20, 2026, 11:14 a.m.
NEDg Description generation batch_6a367784c3ac81909af755f43e56f823 completed June 20, 2026, 11:20 a.m.
NED2 Entity disambiguation (via description) batch_6a3677d337348190a81ce567d0c1f432 completed June 20, 2026, 11:21 a.m.
Created at: May 1, 2026, 1:46 a.m.