Triple

T37283823
Position Surface form Disambiguated ID Type / Status
Subject Love's Truck Care E925475 entity
Predicate operatesWithinNetworkOf P65111 FINISHED
Object Love's travel stops
Love's Travel Stops is a large American chain of highway travel centers and truck stops offering fuel, food, parking, and driver services across the United States.
 E2220213 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: Love's travel stops | Statement: [Love's Truck Care, operatesWithinNetworkOf, Love's travel stops]
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: Love's travel stops
Triple: [Love's Truck Care, operatesWithinNetworkOf, Love's travel stops]
Generated description
Love's Travel Stops is a large American chain of highway travel centers and truck stops offering fuel, food, parking, and driver services across the United States.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: operatesWithinNetworkOf
Context triple: [Love's Truck Care, operatesWithinNetworkOf, Love's travel stops]
  • A. operatedInNetwork chosen
    Indicates that an entity carried out its activities or services within a specified network or system.
  • B. operatesNetwork
    Indicates that an entity manages, controls, or runs the functioning of a network.
  • C. operatedAsNetworkOf
    Indicates that an entity functioned or was utilized as a coordinated network of interconnected components, units, or organizations.
  • D. operatesWithin
    Indicates that one entity carries out its activities, functions, or operations inside the scope, boundaries, or jurisdiction defined by another entity.
  • E. isPartOfNetworkServing
    Indicates that one entity functions as a component within, or is supported by, a particular network that provides services to it or through it.
  • F. None of above.

Provenance (6 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_69f76eafe20c8190856d3b996a4c31a7 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a0227ce59a081909fe1ba1181d86b4d completed May 11, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40513df2b88190b73f66b868f6f085 completed June 27, 2026, 10:39 p.m.
NEDg Description generation batch_6a4051b5f6048190b92272bf19ee39ad completed June 27, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_6a405268e3688190b86e1ee0391e817a completed June 27, 2026, 10:44 p.m.
PD Predicate disambiguation batch_6a02273989208190beb948b8c7bdaee3 completed May 11, 2026, 7 p.m.
Created at: May 3, 2026, 4:16 p.m.