Triple

T26386993
Position Surface form Disambiguated ID Type / Status
Subject Ryder rental truck E663307 entity
Predicate rentalCompany P160481 FINISHED
Object Ryder
Ryder is a major American transportation and logistics company best known for its fleet of commercial rental trucks and fleet management services.
 E1722643 NE FINISHED

How this triple was built (3 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: Ryder | Statement: [Ryder rental truck, rentalCompany, Ryder]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ryder
Triple: [Ryder rental truck, rentalCompany, Ryder]
Generated description
Ryder is a major American transportation and logistics company best known for its fleet of commercial rental trucks and fleet management services.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: rentalCompany
Context triple: [Ryder rental truck, rentalCompany, Ryder]
  • A. rentalModel
    Indicates that one entity is used or provided to another under a specific rental arrangement, defining how the rental relationship is structured or operates.
  • B. managementCompany
    Indicates that one entity serves as the managing company responsible for overseeing or administering another entity.
  • C. hasRentalShop
    Indicates that one entity operates, owns, or is associated with a rental shop used to provide items or services for rent to others.
  • D. offersEquipmentRental
    Indicates that one entity provides equipment to another entity for temporary use in exchange for a fee or under a rental agreement.
  • E. hasRentalCarCenter
    Indicates that a location or facility includes or is associated with a rental car center where vehicles can be rented.
  • F. None of above. chosen

Provenance (7 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_69ee88374adc81909868f3bab374a32f completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f610bc2b288190ae10e6c27e5df786 completed May 2, 2026, 2:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a7ee0788190a64a6b36321a2b52 completed May 23, 2026, 12:15 p.m.
NEDg Description generation batch_6a119c71d29c81909bc7875bad89ce29 completed May 23, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_6a119d54117c81909ec9709271172d7b completed May 23, 2026, 12:28 p.m.
PD Predicate disambiguation batch_69f5f800fa9c8190aab0962669fde8ac completed May 2, 2026, 1:11 p.m.
PDg Predicate description generation batch_69f6018ceb1c8190a6a5f84071659a96 completed May 2, 2026, 1:52 p.m.
Created at: April 26, 2026, 11:23 p.m.