Triple

T35787319
Position Surface form Disambiguated ID Type / Status
Subject Vice Mayor of Beijing E1034597 entity
Predicate mayHaveMultipleOfficeHoldersSimultaneously P123092 FINISHED
Object true 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: true | Statement: [Vice Mayor of Beijing, mayHaveMultipleOfficeHoldersSimultaneously, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayHaveMultipleOfficeHoldersSimultaneously
Context triple: [Vice Mayor of Beijing, mayHaveMultipleOfficeHoldersSimultaneously, true]
  • A. mayHaveMultipleOfficeHolders chosen
    Indicates that a given position or office can be held by more than one office holder at the same time or over its duration.
  • B. officeHolderMayAlsoBe
    Indicates that an individual holding one office or position is permitted or able to simultaneously hold another specified office or position.
  • C. mayServeMultipleTerms
    Indicates that an entity is allowed to hold or perform the same role or position for more than one term.
  • D. membersMayHoldOtherOffices
    Indicates that individuals who are members of a given body or organization are permitted to simultaneously hold additional official positions or offices.
  • E. officeHoldersAlsoHeldPosition
    Indicates that an individual who holds one office or position has also held another specified office or position (at some time, possibly earlier or later).
  • 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_69f76e1575908190aaa306d843b41c14 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a22b21b48190ac11a91faf6cac6e completed May 3, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69f7a070e23881909a233370acb57384 completed May 3, 2026, 7:22 p.m.
Created at: May 3, 2026, 4:06 p.m.