Triple

T16664117
Position Surface form Disambiguated ID Type / Status
Subject Boeing VC-137C SAM 27000 E404935 entity
Predicate tailNumber P5244 FINISHED
Object 27000
27000 is the tail number of a historic Boeing VC-137C aircraft that served for decades as Air Force One for U.S. presidents.
 E1226019 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: 27000 | Statement: [Boeing VC-137C SAM 27000, tailNumber, 27000]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 27000
Context triple: [Boeing VC-137C SAM 27000, tailNumber, 27000]
  • A. 227
    227 is an American sitcom that aired in the 1980s and early 1990s, focusing on the lives of residents in a Washington, D.C. apartment building and starring Marla Gibbs.
  • B. 702
    702 is an American R&B girl group best known for their late-1990s hits like "Where My Girls At?" and "Steelo."
  • C. R27
    R27 is the internal station code used by the New York City Subway for the Broad Street station on the BMT Nassau Street Line.
  • D. R27
    R27 is a regional commuter rail line in Catalonia that forms part of the Rodalies de Catalunya network.
  • E. 300
    300 is a 2006 stylized action film directed by Zack Snyder that dramatizes the Battle of Thermopylae through hyper-visual, graphic novel-inspired imagery.
  • 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: 27000
Triple: [Boeing VC-137C SAM 27000, tailNumber, 27000]
Generated description
27000 is the tail number of a historic Boeing VC-137C aircraft that served for decades as Air Force One for U.S. presidents.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 27000
Target entity description: 27000 is the tail number of a historic Boeing VC-137C aircraft that served for decades as Air Force One for U.S. presidents.
  • A. 227
    227 is an American sitcom that aired in the 1980s and early 1990s, focusing on the lives of residents in a Washington, D.C. apartment building and starring Marla Gibbs.
  • B. 702
    702 is an American R&B girl group best known for their late-1990s hits like "Where My Girls At?" and "Steelo."
  • C. R27
    R27 is a regional commuter rail line in Catalonia that forms part of the Rodalies de Catalunya network.
  • D. R27
    R27 is the internal station code used by the New York City Subway for the Broad Street station on the BMT Nassau Street Line.
  • E. 300
    300 is a 2006 stylized action film directed by Zack Snyder that dramatizes the Battle of Thermopylae through hyper-visual, graphic novel-inspired imagery.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9afd048190b73bbc9c423915ca completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084d091e0819088a98ef4aa775d07 completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a008585ba6c8190b5c870ebe1c93ffc completed May 10, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_6a008624706881909e9a265a37eeb3fc completed May 10, 2026, 1:20 p.m.
Created at: April 10, 2026, 5:18 a.m.