Triple

T33827142
Position Surface form Disambiguated ID Type / Status
Subject SS Empress of Britain (1906) E866986 entity
Predicate shipNameSeries P177744 FINISHED
Object Empress of Britain
Empress of Britain is the name given to a series of prominent early 20th-century Canadian Pacific ocean liners known for transatlantic passenger service.
 E2069712 NE FINISHED

How this triple was built (3 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: Empress of Britain | Statement: [SS Empress of Britain (1906), shipNameSeries, Empress of Britain]
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: Empress of Britain
Triple: [SS Empress of Britain (1906), shipNameSeries, Empress of Britain]
Generated description
Empress of Britain is the name given to a series of prominent early 20th-century Canadian Pacific ocean liners known for transatlantic passenger service.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: shipNameSeries
Context triple: [SS Empress of Britain (1906), shipNameSeries, Empress of Britain]
  • A. shipNumberInNameSeries
    Indicates that a ship’s identifying number is part of a sequentially named series of ships.
  • B. shipName
    Indicates the name assigned to a specific ship in the relationship.
  • C. shipNameWith
    Indicates that a ship is associated with or identified by a particular name.
  • D. fleetName
    Indicates the name assigned to a particular fleet within a system or context.
  • E. shipClass
    Indicates the classification or type category to which a particular ship belongs.
  • F. None of above. chosen

Provenance (7 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_69f7009d39508190af7301f824615e88 completed May 3, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_6a366ea46778819081a6f9efef2d5f91 completed June 20, 2026, 10:42 a.m.
NEDg Description generation batch_6a366f2eab708190a7ab0579a49a7627 completed June 20, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_6a3670cc13ec8190975f7d3bc74eb00f completed June 20, 2026, 10:51 a.m.
PD Predicate disambiguation batch_69f6fc59518081908b0275f47721d561 completed May 3, 2026, 7:42 a.m.
PDg Predicate description generation batch_69f6ffb7554881908993d6d2ffbcf8f5 completed May 3, 2026, 7:56 a.m.
Created at: May 1, 2026, 1:46 a.m.