Triple

T13557362
Position Surface form Disambiguated ID Type / Status
Subject HMCS Windsor E323809 entity
Predicate hullNumber P3152 FINISHED
Object SSK 877
SSK 877 is the hull number of HMCS Windsor, a Canadian Victoria-class diesel-electric attack submarine.
 E1046998 NE FINISHED

How this triple was built (4 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: SSK 877 | Statement: [HMCS Windsor, hullNumber, SSK 877]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SSK 877
Context triple: [HMCS Windsor, hullNumber, SSK 877]
  • A. SSK 879
    SSK 879 is the pennant number of HMCS Chicoutimi, a Canadian Victoria-class diesel-electric attack submarine.
  • B. SSK 876
    SSK 876 is the hull number of HMCS Victoria, a Canadian Royal Navy Victoria-class diesel-electric attack submarine.
  • C. SSK
    SSK is the standard abbreviation used for the Canadian Football League team Saskatchewan Roughriders.
  • D. SS-287
    SS-287 is the hull number of USS Bowfin, a World War II-era Balao-class submarine of the United States Navy now preserved as a museum ship.
  • E. SS-310
    SS-310 is the hull number of USS Batfish, a World War II-era U.S. Navy submarine now preserved as a museum ship.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: SSK 877
Triple: [HMCS Windsor, hullNumber, SSK 877]
Generated description
SSK 877 is the hull number of HMCS Windsor, a Canadian Victoria-class diesel-electric attack submarine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SSK 877
Target entity description: SSK 877 is the hull number of HMCS Windsor, a Canadian Victoria-class diesel-electric attack submarine.
  • A. SSK 879
    SSK 879 is the pennant number of HMCS Chicoutimi, a Canadian Victoria-class diesel-electric attack submarine.
  • B. SSK 876
    SSK 876 is the hull number of HMCS Victoria, a Canadian Royal Navy Victoria-class diesel-electric attack submarine.
  • C. SSK
    SSK is the standard abbreviation used for the Canadian Football League team Saskatchewan Roughriders.
  • D. SS-287
    SS-287 is the hull number of USS Bowfin, a World War II-era Balao-class submarine of the United States Navy now preserved as a museum ship.
  • E. SS-310
    SS-310 is the hull number of USS Batfish, a World War II-era U.S. Navy submarine now preserved as a museum ship.
  • F. None of above. chosen

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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff4223c8190801d153ae8f94c73 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da95b7c8190af4fae155f01d3af completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75ffd5a088190967dae3262a22302 completed May 3, 2026, 2:47 p.m.
NED2 Entity disambiguation (via description) batch_69f76072de148190b8911df91caa87b5 completed May 3, 2026, 2:49 p.m.
Created at: April 9, 2026, 9:47 p.m.