Triple

T5714276
Position Surface form Disambiguated ID Type / Status
Subject Advanced Air Vehicles Program E125983 entity
Predicate hasAbbreviation P43 FINISHED
Object AAVP
AAVP is a NASA program focused on developing and demonstrating advanced air vehicle concepts and technologies for future aviation.
E539816 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: AAVP | Statement: [Advanced Air Vehicles Program, hasAbbreviation, AAVP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AAVP
Context triple: [Advanced Air Vehicles Program, hasAbbreviation, AAVP]
  • A. ÁVH
    ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
  • B. AVV
    AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
  • C. AVP
    AVP is the three-letter IATA airport code for Wilkes-Barre/Scranton International Airport in Pennsylvania, USA.
  • D. SAVP
    SAVP is a profile or configuration associated with the Real-time Transport Protocol (RTP), typically used to define specific parameters or behaviors for secure or specialized media streaming sessions.
  • E. AVS
    AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
  • 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: AAVP
Triple: [Advanced Air Vehicles Program, hasAbbreviation, AAVP]
Generated description
AAVP is a NASA program focused on developing and demonstrating advanced air vehicle concepts and technologies for future aviation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AAVP
Target entity description: AAVP is a NASA program focused on developing and demonstrating advanced air vehicle concepts and technologies for future aviation.
  • A. ÁVH
    ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
  • B. AVV
    AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
  • C. AVP
    AVP is the three-letter IATA airport code for Wilkes-Barre/Scranton International Airport in Pennsylvania, USA.
  • D. SAVP
    SAVP is a profile or configuration associated with the Real-time Transport Protocol (RTP), typically used to define specific parameters or behaviors for secure or specialized media streaming sessions.
  • E. AVS
    AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b6c7c8819095a92f2ccede1197 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a77d6b081908db6e64c5a361282 completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05c75179c819085bf56340363b48c completed March 22, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_69c05d2b67888190bc89e4cbd384c15f completed March 22, 2026, 9:20 p.m.
Created at: March 22, 2026, 3:46 p.m.