Triple

T2963775
Position Surface form Disambiguated ID Type / Status
Subject Breeze Airways E80111 entity
Predicate callsign P1565 FINISHED
Object MOXY
MOXY is the airline callsign used by Breeze Airways, a U.S.-based low-cost carrier founded by JetBlue’s co-founder David Neeleman.
 E314614 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: MOXY | Statement: [Breeze Airways, callsign, MOXY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MOXY
Context triple: [Breeze Airways, callsign, MOXY]
  • A. Mojo
    Mojo is a 2010 blues-rock–oriented studio album by Tom Petty and the Heartbreakers that marked their return to a raw, live-in-the-studio sound.
  • B. MXP
    MXP is the IATA airport code for Milan Malpensa Airport, the largest international airport serving the Milan metropolitan area in Italy.
  • C. MOIA
    MOIA is a mobility services company focused on ride-pooling and urban transportation solutions, operating as a subsidiary of the Volkswagen Group.
  • D. Moynier
    Moynier is a Swiss surname most notably associated with Gustave Moynier, a co-founder and long-serving president of the International Committee of the Red Cross.
  • E. MiMo
    MiMo is a distinctive post-World War II Miami Modernist architectural style characterized by playful curves, glass, and futuristic motifs, especially prominent in Miami Beach.
  • 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: MOXY
Triple: [Breeze Airways, callsign, MOXY]
Generated description
MOXY is the airline callsign used by Breeze Airways, a U.S.-based low-cost carrier founded by JetBlue’s co-founder David Neeleman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MOXY
Target entity description: MOXY is the airline callsign used by Breeze Airways, a U.S.-based low-cost carrier founded by JetBlue’s co-founder David Neeleman.
  • A. Mojo
    Mojo is a 2010 blues-rock–oriented studio album by Tom Petty and the Heartbreakers that marked their return to a raw, live-in-the-studio sound.
  • B. MXP
    MXP is the IATA airport code for Milan Malpensa Airport, the largest international airport serving the Milan metropolitan area in Italy.
  • C. MOIA
    MOIA is a mobility services company focused on ride-pooling and urban transportation solutions, operating as a subsidiary of the Volkswagen Group.
  • D. Moynier
    Moynier is a Swiss surname most notably associated with Gustave Moynier, a co-founder and long-serving president of the International Committee of the Red Cross.
  • E. MiMo
    MiMo is a distinctive post-World War II Miami Modernist architectural style characterized by playful curves, glass, and futuristic motifs, especially prominent in Miami Beach.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9957602c819089b673966fd619e0 completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc98d94481908282d21394dc24a7 completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b0fd07b82881908d52ab2db2f2e54c completed March 11, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b0fdba0fd88190a2e760f1770e846c completed March 11, 2026, 5:29 a.m.
Created at: March 8, 2026, 2:58 p.m.