Triple

T775
Position Surface form Disambiguated ID Type / Status
Subject United States of America E14 entity
Predicate economicSystem P252 FINISHED
Object mixed-market economy 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: mixed-market economy | Statement: [United States of America, economicSystem, mixed-market economy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: economicSystem
Context triple: [United States of America, economicSystem, mixed-market economy]
  • A. sector
    Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
  • B. endowmentCurrency
    Indicates the type of currency in which an endowment is denominated or valued.
  • C. fundingModel
    Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
  • D. governance
    Indicates the relationship in which one entity exercises authority, control, or decision-making power over the policies, actions, or direction of another entity or system.
  • E. elects
    Indicates that one entity selects or chooses another entity for a position, role, or office, typically through a formal voting process.
  • F. None of above. chosen

Provenance (4 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_69a22a285828819081a58308fb963df1 completed Feb. 27, 2026, 11:35 p.m.
NER Named-entity recognition batch_69a23211f05c8190b8deb03a8540d84d completed Feb. 28, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69a230c2c48481908beb1db3cc9768aa completed Feb. 28, 2026, 12:03 a.m.
PDg Predicate description generation batch_69a23211181c81909c2db8796d2aded4 completed Feb. 28, 2026, 12:08 a.m.
Created at: Feb. 27, 2026, 11:36 p.m.