Triple

T22285676
Position Surface form Disambiguated ID Type / Status
Subject Virginia Air and Space Science Center E550854 entity
Predicate shortName P43 FINISHED
Object VASSC
VASSC is a museum and educational facility in Hampton, Virginia that focuses on aviation, space exploration, and atmospheric sciences.
 E1528773 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: VASSC | Statement: [Virginia Air and Space Science Center, shortName, VASSC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VASSC
Context triple: [Virginia Air and Space Science Center, shortName, VASSC]
  • A. VASS
    VASS is Vietnam’s leading national research institution dedicated to the study and development of the social sciences.
  • B. VCSAF
    VCSAF is the acronym for the Vice Chief of Staff of the United States Air Force, the service’s second-highest-ranking officer.
  • C. The VSS
    The VSS was an American experimental post-hardcore band known for its abrasive sound, dark atmospherics, and influential role in the 1990s underground punk and noise rock scenes.
  • D. VVSS
    VVSS (Vertical Volute Spring Suspension) is an early U.S. tank suspension system using vertical volute springs to support and cushion tracked armored vehicles.
  • E. VOSA
    VOSA was an executive agency of the UK government responsible for enforcing vehicle safety and environmental standards, and regulating operators of heavy goods and public service vehicles.
  • 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: VASSC
Triple: [Virginia Air and Space Science Center, shortName, VASSC]
Generated description
VASSC is a museum and educational facility in Hampton, Virginia that focuses on aviation, space exploration, and atmospheric sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VASSC
Target entity description: VASSC is a museum and educational facility in Hampton, Virginia that focuses on aviation, space exploration, and atmospheric sciences.
  • A. VASS
    VASS is Vietnam’s leading national research institution dedicated to the study and development of the social sciences.
  • B. VCSAF
    VCSAF is the acronym for the Vice Chief of Staff of the United States Air Force, the service’s second-highest-ranking officer.
  • C. The VSS
    The VSS was an American experimental post-hardcore band known for its abrasive sound, dark atmospherics, and influential role in the 1990s underground punk and noise rock scenes.
  • D. VVSS
    VVSS (Vertical Volute Spring Suspension) is an early U.S. tank suspension system using vertical volute springs to support and cushion tracked armored vehicles.
  • E. VOSA
    VOSA was an executive agency of the UK government responsible for enforcing vehicle safety and environmental standards, and regulating operators of heavy goods and public service vehicles.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15606948c81909ebaa5ea106d2b7a completed April 29, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0abcac163c8190b0bb8673ed46c046 completed May 18, 2026, 7:15 a.m.
NEDg Description generation batch_6a0abe56d038819083b2ce2b87e067a2 completed May 18, 2026, 7:23 a.m.
NED2 Entity disambiguation (via description) batch_6a0abf7e6d208190807d4c1316d5bd0d completed May 18, 2026, 7:27 a.m.
Created at: April 16, 2026, 8:40 p.m.