Triple

T8480969
Position Surface form Disambiguated ID Type / Status
Subject MV Wenatchee E200516 entity
Predicate class P87 FINISHED
Object Jumbo Mark II
Jumbo Mark II is a class of large, modern car ferries operated by Washington State Ferries for high-capacity passenger and vehicle transport.
E736744 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: Jumbo Mark II | Statement: [MV Wenatchee, class, Jumbo Mark II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jumbo Mark II
Context triple: [MV Wenatchee, class, Jumbo Mark II]
  • A. Jumbo
    Jumbo was the nickname of British Army officer Field Marshal Henry Maitland Wilson, a senior commander during the Second World War.
  • B. Jumbo
    Jumbo is a 1935 Rodgers and Hart Broadway musical comedy best known for its circus setting and elaborate live-animal performances.
  • C. Jumbo
    Jumbo is a prominent mountain peak in New Zealand’s Tararua Range, popular with trampers for its alpine views and access to nearby huts and ridgelines.
  • D. Jumbo
    Jumbo is a major Latin American supermarket and hypermarket chain known for offering a wide range of groceries and household products.
  • E. Superjumbo
    Superjumbo is the popular nickname for the Airbus A380, the world’s largest passenger airliner known for its double-deck design and high capacity.
  • 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: Jumbo Mark II
Triple: [MV Wenatchee, class, Jumbo Mark II]
Generated description
Jumbo Mark II is a class of large, modern car ferries operated by Washington State Ferries for high-capacity passenger and vehicle transport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jumbo Mark II
Target entity description: Jumbo Mark II is a class of large, modern car ferries operated by Washington State Ferries for high-capacity passenger and vehicle transport.
  • A. Jumbo
    Jumbo was the nickname of British Army officer Field Marshal Henry Maitland Wilson, a senior commander during the Second World War.
  • B. Jumbo
    Jumbo is a 1935 Rodgers and Hart Broadway musical comedy best known for its circus setting and elaborate live-animal performances.
  • C. Jumbo
    Jumbo is a prominent mountain peak in New Zealand’s Tararua Range, popular with trampers for its alpine views and access to nearby huts and ridgelines.
  • D. Jumbo
    Jumbo is a major Latin American supermarket and hypermarket chain known for offering a wide range of groceries and household products.
  • E. Superjumbo
    Superjumbo is the popular nickname for the Airbus A380, the world’s largest passenger airliner known for its double-deck design and high capacity.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5245034819088c7c5c40170c020 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a2b2e9081909f19712946c6ec20 completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3b4008a0819096bb44b46f510213 completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3c000e608190adf1b6499d382529 completed April 2, 2026, 9:50 a.m.
Created at: March 30, 2026, 6:12 p.m.