Triple

T11765082
Position Surface form Disambiguated ID Type / Status
Subject Jim Casey E279762 entity
Predicate employer P7 FINISHED
Object UPS E394871 NE 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: UPS | Statement: [Jim Casey, employer, UPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UPS
Context triple: [Jim Casey, employer, UPS]
  • A. UPS chosen
    UPS (United Parcel Service) is a global package delivery and supply chain management company known for its extensive logistics network and brown delivery trucks.
  • B. UPS international services
    UPS international services comprise the global shipping and logistics solutions offered by UPS for transporting packages and freight across international borders.
  • C. UPS Worldwide Saver
    UPS Worldwide Saver is an international express shipping service that provides guaranteed, time-definite delivery of packages and documents to destinations around the world.
  • D. UPS Worldwide Express
    UPS Worldwide Express is a premium international shipping service from UPS that provides fast, time-definite delivery of packages worldwide.
  • E. UPS Ground
    UPS Ground is a domestic ground shipping service from UPS that provides reliable, day-definite delivery of packages at an economical rate.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a525948081908af62cc5d4c7c482 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09053a9b08190983e15f2da3d3889 completed April 28, 2026, 10:47 a.m.
Created at: April 8, 2026, 9:41 p.m.