Triple

T16835058
Position Surface form Disambiguated ID Type / Status
Subject MASkargo E409252 entity
Predicate hasCargoHandlingTechnology P125025 FINISHED
Object automated storage and retrieval systems 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: automated storage and retrieval systems | Statement: [MASkargo, hasCargoHandlingTechnology, automated storage and retrieval systems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCargoHandlingTechnology
Context triple: [MASkargo, hasCargoHandlingTechnology, automated storage and retrieval systems]
  • A. hasCargoHandlingMode
    Indicates the method or procedure by which cargo is handled, loaded, or unloaded in a given context.
  • B. hasPassengerHandling
    Indicates that an entity is responsible for or involved in managing the processes and services related to handling passengers.
  • C. hasCargoTerminal
    Indicates that a location or facility includes or is equipped with a cargo terminal for handling freight.
  • D. hasCargoServices
    Indicates that an entity provides or is equipped to handle cargo transportation or freight services for another entity or location.
  • E. hasCargoAirline
    Indicates that one entity operates as a cargo airline for, or provides cargo air transport services to, another entity.
  • F. None of above. chosen

Provenance (4 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b31aa44c8190b4f402f1898e6998 completed April 18, 2026, 4:36 p.m.
PD Predicate disambiguation batch_69e32b87b4248190aaddb05e88452356 completed April 18, 2026, 6:58 a.m.
PDg Predicate description generation batch_69e34fb7c8c8819086975b7955b7d8ef completed April 18, 2026, 9:32 a.m.
Created at: April 10, 2026, 5:23 a.m.