Triple

T28458473
Position Surface form Disambiguated ID Type / Status
Subject MMV E716782 entity
Predicate associatedWithTransportationSector P23255 FINISHED
Object aviation 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: aviation | Statement: [MMV, associatedWithTransportationSector, aviation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithTransportationSector
Context triple: [MMV, associatedWithTransportationSector, aviation]
  • A. transportationSector chosen
    Indicates a relationship where an entity is involved in, associated with, or classified as part of the transportation sector or transportation-related activities.
  • B. associatedWithEconomicSector
    Indicates that an entity has a connection or involvement with a particular economic sector, such as operating, participating, or being relevant within that sector.
  • C. associatedWithTransportationInfrastructure
    Indicates a relationship where something is connected or related to transportation infrastructure, such as facilities, systems, or structures used for transport.
  • D. associatedWithAutomotiveIndustry
    Indicates a relationship in which an entity is connected or relevant to the automotive industry, such as through products, services, operations, or affiliations.
  • E. associatedWithCargoTraffic
    Indicates a relationship where something is connected to, involved in, or relevant to the movement, handling, or management of cargo traffic.
  • 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_69efd6b76f8c8190a7ba908aca280942 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_6a016336c58081909c58c5772e6fb488 completed May 11, 2026, 5:03 a.m.
PD Predicate disambiguation batch_6a0160f25d8081909a6aaa375e9850b0 completed May 11, 2026, 4:54 a.m.
Created at: April 28, 2026, 1:55 a.m.