Triple

T2437116
Position Surface form Disambiguated ID Type / Status
Subject Brussels Airlines E52985 entity
Predicate airlineCodePrefix P12360 FINISHED
Object 082 LITERAL 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: 082 | Statement: [Brussels Airlines, airlineCodePrefix, 082]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: airlineCodePrefix
Context triple: [Brussels Airlines, airlineCodePrefix, 082]
  • A. associatedWithIATAAirlineCode chosen
    Indicates that an entity is linked to or identified by a specific IATA airline code.
  • B. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • C. associatedAirlineICAOCode
    Indicates the ICAO airline code that is linked to or used by the given entity (such as a flight, route, or service).
  • D. ICAOcode
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • E. hasIATAcode
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • F. None of above.

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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abcebf7cac8190889e6890d72c256c completed March 7, 2026, 7:07 a.m.
PD Predicate disambiguation batch_69abc5ac11b081908ce6a506e81a742a completed March 7, 2026, 6:29 a.m.
Created at: March 6, 2026, 9:43 p.m.