Triple

T38330482
Position Surface form Disambiguated ID Type / Status
Subject Harry DeWolf-class E1037807 entity
Predicate fifthShip P190648 FINISHED
Object HMCS Frédérick Rolette
HMCS Frédérick Rolette is a Royal Canadian Navy Arctic and Offshore Patrol Ship designed for operations in northern and coastal waters as part of Canada’s modern Harry DeWolf-class fleet.
 E2275031 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: HMCS Frédérick Rolette | Statement: [Harry DeWolf-class, fifthShip, HMCS Frédérick Rolette]
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: HMCS Frédérick Rolette
Triple: [Harry DeWolf-class, fifthShip, HMCS Frédérick Rolette]
Generated description
HMCS Frédérick Rolette is a Royal Canadian Navy Arctic and Offshore Patrol Ship designed for operations in northern and coastal waters as part of Canada’s modern Harry DeWolf-class fleet.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: fifthShip
Context triple: [Harry DeWolf-class, fifthShip, HMCS Frédérick Rolette]
  • A. fifthBoat
    Indicates that an entity is the fifth boat in an ordered sequence or arrangement of boats.
  • B. fifthSatellite
    Indicates that one entity is the fifth satellite (e.g., moon or artificial satellite) in an ordered sequence relative to another entity.
  • C. victoriousShip
    Indicates that a ship has won a conflict, battle, or competition against another party.
  • D. firstShip
    Indicates that the subject is the earliest or initial ship associated with, created by, or used in relation to the object.
  • E. notableVictimShip
    Indicates that a ship is recognized as a particularly significant or noteworthy victim in a specific incident or context.
  • 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_69f76e20d65c81909619ac0dd85c56f0 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fccbd826708190b5fab12c4236299a completed May 7, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41e012be7881908958b054e8f9a53d completed June 29, 2026, 3:01 a.m.
NEDg Description generation batch_6a41e1cf5efc8190914d2e730e597915 completed June 29, 2026, 3:09 a.m.
NED2 Entity disambiguation (via description) batch_6a41e262ce348190821f1ef1017cbf85 completed June 29, 2026, 3:11 a.m.
PD Predicate disambiguation batch_69fcc58838e08190b8fa54aa5c165f2d completed May 7, 2026, 5:02 p.m.
PDg Predicate description generation batch_69fccbd6b7688190b746803cf78d5704 completed May 7, 2026, 5:28 p.m.
Created at: May 3, 2026, 4:30 p.m.