Triple

T9302362
Position Surface form Disambiguated ID Type / Status
Subject BEA Flight 609 E223795 entity
Predicate onboardTotal P35405 FINISHED
Object 44 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: 44 | Statement: [BEA Flight 609, onboardTotal, 44]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: onboardTotal
Context triple: [BEA Flight 609, onboardTotal, 44]
  • A. totalPeopleOnBoard chosen
    Indicates the total number of people currently present on a given vehicle, vessel, or similar conveyance.
  • B. onboardSinceLaunch
    Indicates that an entity has been continuously involved or participating in something from its initial launch date onward.
  • C. onboardPlatform
    Indicates that an entity is being added, integrated, or enrolled onto a particular platform so it can start operating or participating there.
  • D. onBoardService
    Indicates that a service is provided to or available for passengers while they are physically on board a vehicle, vessel, or aircraft.
  • E. onboardLocation
    Indicates that one entity is located on or within a vehicle, vessel, or other conveyance associated with another entity.
  • 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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08d34c4c819095a213360747c3a6 completed April 1, 2026, noon
PD Predicate disambiguation batch_69cc7a5ef1908190bc5ca166bb895af6 completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:36 p.m.