Triple

T1825214
Position Surface form Disambiguated ID Type / Status
Subject Deputy Prime Minister of Russia E40636 entity
Predicate numberOfOfficeHolders P3416 FINISHED
Object several at the same 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: several at the same time | Statement: [Deputy Prime Minister of Russia, numberOfOfficeHolders, several at the same time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfOfficeHolders
Context triple: [Deputy Prime Minister of Russia, numberOfOfficeHolders, several at the same time]
  • A. officeHoldersNumber chosen
    Indicates the number of individuals who hold a particular office or position.
  • B. firstOfficeHoldersCount
    Indicates the number of individuals who initially held a particular office or position.
  • C. officeHoldersNumbered
    Indicates that a specific office or position has its holders identified and distinguished by assigned numbers (e.g., first holder, second holder, etc.).
  • D. officeHoldersAreUsually
    Indicates that individuals holding a particular office or position are typically or generally characterized by a specified property or role.
  • E. officeHolders
    Indicates a relationship where one or more entities hold, or have held, an official position or role within a specified organization, institution, or jurisdiction.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb45402688190b9a535b14030c354 completed March 7, 2026, 5:15 a.m.
PD Predicate disambiguation batch_69abafd6a9948190ac2b2743db6f8f69 completed March 7, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:32 p.m.