Triple

T14319069
Position Surface form Disambiguated ID Type / Status
Subject Essex-class aircraft carrier E355032 entity
Predicate modernizationProgram P4337 FINISHED
Object SCB-27
SCB-27 was a major U.S. Navy post–World War II modernization program that extensively rebuilt Essex-class aircraft carriers to operate heavier, faster jet aircraft.
 E1093298 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: SCB-27 | Statement: [Essex-class aircraft carrier, modernizationProgram, SCB-27]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SCB-27
Context triple: [Essex-class aircraft carrier, modernizationProgram, SCB-27]
  • A. SCB
    SCB was a 19th-century Swiss railway company that played a key role in developing the country’s early rail network.
  • B. SBS-3
    SBS-3 was a commercial communications satellite in the SBS (Satellite Business Systems) series used to provide telecommunications services.
  • C. CBAS-2
    CBAS-2 is a classified U.S. Space Force military communications satellite designed to provide secure, high-capacity relay capabilities for national defense missions.
  • D. SCBC
    SCBC is the rowing club of Selwyn College at the University of Cambridge, competing in college and university rowing events.
  • E. S75
    S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
  • 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: SCB-27
Triple: [Essex-class aircraft carrier, modernizationProgram, SCB-27]
Generated description
SCB-27 was a major U.S. Navy post–World War II modernization program that extensively rebuilt Essex-class aircraft carriers to operate heavier, faster jet aircraft.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SCB-27
Target entity description: SCB-27 was a major U.S. Navy post–World War II modernization program that extensively rebuilt Essex-class aircraft carriers to operate heavier, faster jet aircraft.
  • A. SCB
    SCB was a 19th-century Swiss railway company that played a key role in developing the country’s early rail network.
  • B. SBS-3
    SBS-3 was a commercial communications satellite in the SBS (Satellite Business Systems) series used to provide telecommunications services.
  • C. CBAS-2
    CBAS-2 is a classified U.S. Space Force military communications satellite designed to provide secure, high-capacity relay capabilities for national defense missions.
  • D. SCBC
    SCBC is the rowing club of Selwyn College at the University of Cambridge, competing in college and university rowing events.
  • E. S75
    S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de883a93548190ac671b001d15d0bd completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd468c4a7c8190951adb28e1d71365 completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd478e6644819080692fbca8ec6c80 completed May 8, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69fd4851528c81909855c0f8484c278e completed May 8, 2026, 2:20 a.m.
Created at: April 10, 2026, 1:13 a.m.