Triple

T28903957
Position Surface form Disambiguated ID Type / Status
Subject Got Milk? advertising campaign E733023 entity
Predicate laterGeographicReach P139744 FINISHED
Object national 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: national | Statement: [Got Milk? advertising campaign, laterGeographicReach, national]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterGeographicReach
Context triple: [Got Milk? advertising campaign, laterGeographicReach, national]
  • A. geographicReception
    Indicates the geographic area or location where something (such as a work, message, or signal) is received, experienced, or has effect.
  • B. intendedReach chosen
    Indicates the target audience, scope, or extent that something is meant or designed to affect or be accessible to.
  • C. geographicStrategy
    Indicates a relationship where an entity’s actions, plans, or policies are organized or guided according to geographic factors such as location, region, or spatial distribution.
  • D. geographicRelevance
    Indicates that something has a meaningful connection or applicability to a specific geographic area or location.
  • E. geographicConstraint
    Indicates a relationship where one entity’s existence, behavior, or validity is limited, restricted, or defined by specific geographic locations or boundaries.
  • 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_69f05b096d208190958a57d2e4b5a93a completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69fdf5d05cc481909ec9e1b1f0784279 completed May 8, 2026, 2:40 p.m.
PD Predicate disambiguation batch_69fdf0cdd6948190838864ab3120dfa6 completed May 8, 2026, 2:18 p.m.
Created at: April 28, 2026, 8:05 a.m.