Triple

T2635418
Position Surface form Disambiguated ID Type / Status
Subject Azul Brazilian Airlines E59733 entity
Predicate callsign P1565 FINISHED
Object AZUL
AZUL is a Brazilian low-cost airline known for its extensive domestic network and vibrant blue branding.
 E283416 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: AZUL | Statement: [Azul Brazilian Airlines, callsign, AZUL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AZUL
Context triple: [Azul Brazilian Airlines, callsign, AZUL]
  • A. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • B. Trucolor
    Trucolor was a mid-20th-century color motion picture process developed by Republic Pictures, used primarily in their Westerns and adventure films.
  • C. The Blue and White
    The Blue and White is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise known for its blue-and-white team colors.
  • D. Indigo
    Indigo is a publishing imprint of the Orion Publishing Group, known for releasing a range of contemporary fiction and non-fiction titles.
  • E. Arco Iris
    Arco Iris was an influential Argentine rock band from the late 1960s and 1970s known for pioneering a fusion of rock, folk, and progressive elements with spiritual and Latin American influences.
  • 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: AZUL
Triple: [Azul Brazilian Airlines, callsign, AZUL]
Generated description
AZUL is a Brazilian low-cost airline known for its extensive domestic network and vibrant blue branding.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AZUL
Target entity description: AZUL is a Brazilian low-cost airline known for its extensive domestic network and vibrant blue branding.
  • A. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • B. Trucolor
    Trucolor was a mid-20th-century color motion picture process developed by Republic Pictures, used primarily in their Westerns and adventure films.
  • C. The Blue and White
    The Blue and White is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise known for its blue-and-white team colors.
  • D. Indigo
    Indigo is a publishing imprint of the Orion Publishing Group, known for releasing a range of contemporary fiction and non-fiction titles.
  • E. Arco Iris
    Arco Iris was an influential Argentine rock band from the late 1960s and 1970s known for pioneering a fusion of rock, folk, and progressive elements with spiritual and Latin American influences.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8e085b0819089db4103c0d8cd9b completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90ac94d48190b3138abac9934ec8 completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af91625bd481908d3666af3cd3733f completed March 10, 2026, 3:34 a.m.
NED2 Entity disambiguation (via description) batch_69af91f9e1208190aa149c9afc84911c completed March 10, 2026, 3:37 a.m.
Created at: March 6, 2026, 9:50 p.m.