Triple

T1408482
Position Surface form Disambiguated ID Type / Status
Subject Levi's E31749 entity
Predicate hasRetailPresenceIn P26597 FINISHED
Object North America E335 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: North America | Statement: [Levi's, hasRetailPresenceIn, North America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North America
Context triple: [Levi's, hasRetailPresenceIn, North America]
  • A. North America chosen
    North America is a large continent in the Northern and Western Hemispheres that includes countries such as the United States, Canada, and Mexico.
  • B. Americas
    The Americas are the combined landmasses of North and South America, encompassing a vast region of diverse cultures, climates, and ecosystems in the Western Hemisphere.
  • C. América
    América is a popular Mexican professional football club based in Mexico City, widely recognized as one of the most successful and supported teams in Liga MX.
  • D. Western Hemisphere
    The Western Hemisphere is the half of Earth that lies west of the Prime Meridian and east of the 180th meridian, encompassing the Americas and parts of western Europe and Africa.
  • E. Amerika
    Amerika is a novel by Franz Kafka that follows a young European immigrant’s surreal and often absurd experiences in the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRetailPresenceIn
Context triple: [Levi's, hasRetailPresenceIn, North America]
  • A. hasRetailBoutiquesIn
    Indicates that an entity operates or maintains retail boutiques located within a specified place or region.
  • B. hasRetailFormat
    Indicates that one entity operates or is organized according to a particular retail format or store type.
  • C. hasRetailArea
    Indicates that an entity possesses or includes a designated space used for retail or commercial sales activities.
  • D. hasRetailCategory
    Indicates that an entity is associated with a specific retail category or type of retail business.
  • E. hasShop
    Indicates that one entity owns, operates, or is associated with a shop or retail establishment.
  • F. None of above. chosen

Provenance (5 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3c10f44819085e1c4601423740d completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad3ffcca648190b73d39b92dafe0fe completed March 8, 2026, 9:23 a.m.
PD Predicate disambiguation batch_69a4bf048b648190ab77d9b45cb4855f completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4bf8158ac8190b8360ecccc2980bc completed March 1, 2026, 10:36 p.m.
Created at: March 1, 2026, 7:59 p.m.