Triple

T974478
Position Surface form Disambiguated ID Type / Status
Subject Cigar City E21019 entity
Predicate associatedWithEconomy P9483 FINISHED
Object tobacco industry in Tampa 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: tobacco industry in Tampa | Statement: [Cigar City, associatedWithEconomy, tobacco industry in Tampa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithEconomy
Context triple: [Cigar City, associatedWithEconomy, tobacco industry in Tampa]
  • A. economyIncludes
    Indicates that an economy encompasses, contains, or is composed of the specified component, sector, or element.
  • B. isLinkedEconomicallyTo chosen
    Indicates that two entities are connected through economic relationships such as trade, investment, financial flows, or shared market dependencies.
  • C. hasEconomicOrganization
    Indicates that an entity possesses, is associated with, or participates in a specific economic organization or institutional economic structure.
  • D. economicAspect
    Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
  • E. hasEconomicRole
    Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b460a5c0819087b03dfb8a3af2c2 completed March 1, 2026, 9:49 p.m.
PD Predicate disambiguation batch_69a4b2a6aa2c8190aebba71320ab678f completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.