Triple

T2623215
Position Surface form Disambiguated ID Type / Status
Subject Gazpromavia E59055 entity
Predicate cargoServiceType P11980 FINISHED
Object industrial cargo transport 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: industrial cargo transport | Statement: [Gazpromavia, cargoServiceType, industrial cargo transport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cargoServiceType
Context triple: [Gazpromavia, cargoServiceType, industrial cargo transport]
  • A. hasCargoServices chosen
    Indicates that an entity provides or is equipped to handle cargo transportation or freight services for another entity or location.
  • B. cargoAccess
    Indicates that an entity has permission or capability to access, enter, or interact with a cargo area or cargo-related contents.
  • C. cargoLoading
    Indicates the action or process of placing cargo onto a vehicle, vessel, or other transport medium for shipment or movement.
  • D. cargoSpace
    Indicates that one entity provides storage capacity or room for carrying goods, equipment, or other items for another entity.
  • E. mainCargo
    Indicates that one entity serves as the primary or principal cargo carried or transported by 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdaca581881908fe8d3d820f839b7 completed March 7, 2026, 7:59 a.m.
PD Predicate disambiguation batch_69abd80f48888190afdf7e3e042157d0 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:50 p.m.