Triple

T20881399
Position Surface form Disambiguated ID Type / Status
Subject Commando E514158 entity
Predicate hasCargoCapacity P18218 FINISHED
Object about 15,000 lb of cargo 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: about 15,000 lb of cargo | Statement: [Commando, hasCargoCapacity, about 15,000 lb of cargo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCargoCapacity
Context triple: [Commando, hasCargoCapacity, about 15,000 lb of cargo]
  • A. cargoCapacityFeature
    Indicates that an entity has a feature specifying how much cargo it can carry or accommodate.
  • B. designedCargoCapacity chosen
    Indicates the maximum amount of cargo an object (such as a vehicle or container) was originally engineered or specified to carry.
  • C. slingLoadCapacity
    Indicates the maximum weight or load that can be safely carried or supported using a sling.
  • D. cargoCapacityConfigurable
    Indicates that the cargo capacity of an entity can be adjusted or configured rather than being fixed.
  • E. hasCargoAccess
    Indicates that an entity has the ability or permission to access a designated cargo area or its contents.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67a33548190b0f5ba58b001d387 completed April 21, 2026, 12:36 a.m.
PD Predicate disambiguation batch_69e5c9a8dc148190b33ff51894e2a8f9 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:46 p.m.