Triple

T7553023
Position Surface form Disambiguated ID Type / Status
Subject RUI E178582 entity
Predicate hasTradingHoursTimeZone P72277 FINISHED
Object Eastern Time 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: Eastern Time | Statement: [RUI, hasTradingHoursTimeZone, Eastern Time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTradingHoursTimeZone
Context triple: [RUI, hasTradingHoursTimeZone, Eastern Time]
  • A. tradingHoursTimezone chosen
    Indicates the time zone in which an entity’s trading hours are defined and observed.
  • B. hasTradingHours
    Indicates that an entity operates or is available for trading during specified time periods.
  • C. tradingHoursType
    Indicates the classification of an entity’s trading hours, such as whether they are regular, extended, holiday-specific, or of another defined type.
  • D. hasTimeZones
    Indicates that an entity is associated with one or more time zones in which it is valid or operates.
  • E. hasTradingSession
    Indicates that an entity participates in or is associated with a specific trading session or period during which trading activities occur.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b8165481908285fc9697fe4c99 completed March 27, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69c6f4daad6c8190af2b8ae88d2c8cb7 completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:49 p.m.