Triple

T2656112
Position Surface form Disambiguated ID Type / Status
Subject Russia Day E54612 entity
Predicate observanceStatus P14941 FINISHED
Object widely observed across Russia 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: widely observed across Russia | Statement: [Russia Day, observanceStatus, widely observed across Russia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: observanceStatus
Context triple: [Russia Day, observanceStatus, widely observed across Russia]
  • A. observance chosen
    Indicates the performance or maintenance of a practice, rule, or custom in accordance with prescribed or expected standards.
  • B. observanceMayVaryByCountry
    Indicates that the way something is observed, celebrated, or practiced can differ depending on the country.
  • C. observationalStatus
    Indicates the current state or condition of an observation, such as whether it has been made, recorded, verified, or remains pending.
  • D. observanceMayVaryByYear
    Indicates that the way an observance is recognized, scheduled, or practiced can differ from one year to another.
  • E. observancePattern
    Indicates how an action, rule, or practice is regularly carried out or followed over time, such as its schedule, frequency, or customary pattern of observance.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abda0ba2208190ad87763ecbef8c3c completed March 7, 2026, 7:55 a.m.
PD Predicate disambiguation batch_69abd815d06481909535c02b0aba8553 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:53 p.m.