Triple

T8359927
Position Surface form Disambiguated ID Type / Status
Subject Viru Viru International Airport E196980 entity
Predicate servesAsHubFor P423 FINISHED
Object EcoJet
EcoJet is a Bolivian regional airline that operates domestic flights, using Viru Viru International Airport in Santa Cruz as its main base of operations.
 E728905 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: EcoJet | Statement: [Viru Viru International Airport, servesAsHubFor, EcoJet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EcoJet
Context triple: [Viru Viru International Airport, servesAsHubFor, EcoJet]
  • A. CEDAR JET
    CEDAR JET is the radio callsign used by Middle East Airlines for its commercial flight operations.
  • B. Cargojet
    Cargojet is a Canadian cargo airline specializing in time-sensitive overnight air freight services across North America and select international routes.
  • C. J-Air
    J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
  • D. Equair
    Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
  • E. Canair
    Canair was a Spanish regional airline that operated inter-island flights in the Canary Islands.
  • 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: EcoJet
Triple: [Viru Viru International Airport, servesAsHubFor, EcoJet]
Generated description
EcoJet is a Bolivian regional airline that operates domestic flights, using Viru Viru International Airport in Santa Cruz as its main base of operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EcoJet
Target entity description: EcoJet is a Bolivian regional airline that operates domestic flights, using Viru Viru International Airport in Santa Cruz as its main base of operations.
  • A. CEDAR JET
    CEDAR JET is the radio callsign used by Middle East Airlines for its commercial flight operations.
  • B. Cargojet
    Cargojet is a Canadian cargo airline specializing in time-sensitive overnight air freight services across North America and select international routes.
  • C. J-Air
    J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
  • D. Equair
    Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
  • E. Canair
    Canair was a Spanish regional airline that operated inter-island flights in the Canary Islands.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb807134008190b4671326e0414210 completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc775a548819090c83d916b352f41 completed April 2, 2026, 1:33 a.m.
NEDg Description generation batch_69cdcc872cc081909c75b3fb08b03e3f completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdd15b53748190966a94b7e8c04880 completed April 2, 2026, 2:15 a.m.
Created at: March 30, 2026, 6 p.m.