Triple

T11911949
Position Surface form Disambiguated ID Type / Status
Subject AZUL E283416 entity
Predicate fleetIncludes P10916 FINISHED
Object Embraer 190 E11225 NE FINISHED

How this triple was built (2 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: Embraer 190 | Statement: [AZUL, fleetIncludes, Embraer 190]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Embraer 190
Context triple: [AZUL, fleetIncludes, Embraer 190]
  • A. Embraer 190 chosen
    The Embraer 190 is a Brazilian-made narrow-body regional jet airliner designed for short- to medium-haul routes, widely used by airlines around the world.
  • B. Embraer 175
    The Embraer 175 is a regional jet airliner designed for short- to medium-haul routes, widely used by airlines for its efficient performance and comfortable 70–88 seat cabin.
  • C. Embraer 195
    The Embraer 195 is a Brazilian-made regional jet airliner known for its short- to medium-haul efficiency and use by numerous carriers worldwide.
  • D. Embraer 170
    The Embraer 170 is a regional jet airliner designed and produced by Brazilian manufacturer Embraer, typically seating around 70 passengers for short- to medium-haul routes.
  • E. Embraer ERJ 145
    The Embraer ERJ 145 is a Brazilian-built regional jet airliner widely used for short-haul passenger and military transport operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e528f6748190ac873a040a61fa93 completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4185fd3588190807cc2906c4ce3fd completed May 1, 2026, 3:05 a.m.
Created at: April 8, 2026, 9:44 p.m.