Triple

T1942766
Position Surface form Disambiguated ID Type / Status
Subject Avelo Airlines E41591 entity
Predicate callsign P1565 FINISHED
Object AVELO
AVELO is the radio callsign used by Avelo Airlines, a U.S.-based low-cost carrier.
 E218738 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: AVELO | Statement: [Avelo Airlines, callsign, AVELO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AVELO
Context triple: [Avelo Airlines, callsign, AVELO]
  • A. Velo
    Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
  • B. Ola Bike
    Ola Bike is a bike-taxi service operated by Indian ride-hailing company Ola, providing affordable two-wheeler rides for short-distance urban travel.
  • C. Agalev
    Agalev was the original name of the Flemish green political party now known as Groen in Belgium.
  • D. Giro
    Giro is the common shorthand name for the Giro d'Italia, one of professional cycling's three Grand Tours and Italy's premier multi-stage road race.
  • E. Cablebús
    Cablebús is an aerial cable car public transit system in Mexico City designed to provide efficient mass transportation, particularly to hilly and underserved areas.
  • 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: AVELO
Triple: [Avelo Airlines, callsign, AVELO]
Generated description
AVELO is the radio callsign used by Avelo Airlines, a U.S.-based low-cost carrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AVELO
Target entity description: AVELO is the radio callsign used by Avelo Airlines, a U.S.-based low-cost carrier.
  • A. Velo
    Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
  • B. Ola Bike
    Ola Bike is a bike-taxi service operated by Indian ride-hailing company Ola, providing affordable two-wheeler rides for short-distance urban travel.
  • C. Agalev
    Agalev was the original name of the Flemish green political party now known as Groen in Belgium.
  • D. Giro
    Giro is the common shorthand name for the Giro d'Italia, one of professional cycling's three Grand Tours and Italy's premier multi-stage road race.
  • E. Cablebús
    Cablebús is an aerial cable car public transit system in Mexico City designed to provide efficient mass transportation, particularly to hilly and underserved areas.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2fe04688190aa8461ba090c93a0 completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb7616881908bfc82997538ca08 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc2b6a0c8190a9129dc0a930d1b1 completed March 8, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69adfd3fd7888190ae40fb91e3761eb2 completed March 8, 2026, 10:50 p.m.
Created at: March 4, 2026, 7:36 p.m.