Triple

T32914220
Position Surface form Disambiguated ID Type / Status
Subject Mr. President E841961 entity
Predicate hasAddresseeOfficeRank P193491 FINISHED
Object presiding officer 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: presiding officer | Statement: [Mr. President, hasAddresseeOfficeRank, presiding officer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAddresseeOfficeRank
Context triple: [Mr. President, hasAddresseeOfficeRank, presiding officer]
  • A. addresseePosition
    Indicates the spatial or positional relationship of the addressee relative to a reference point or speaker.
  • B. officeRankRepresented
    Indicates that one entity stands as the official or symbolic holder or representative of a particular office rank on behalf of another entity.
  • C. officeHolderRankSometimes
    Indicates that an office holder’s rank or level within a position can vary or apply only in certain situations or periods.
  • D. isHonorificOffice
    Indicates that a given office or position is honorary in nature, typically carrying prestige or ceremonial status rather than substantive powers or duties.
  • E. addresseeOf
    Indicates that one entity is the intended recipient or target audience of a communication, message, or expression from another entity.
  • 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_69f3494779388190a5d3e97f92278be2 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd485f57dc8190820365396d041991 completed May 8, 2026, 2:20 a.m.
PD Predicate disambiguation batch_69fd47d35da081908bec8901018d186c completed May 8, 2026, 2:17 a.m.
PDg Predicate description generation batch_69fd485e0c20819099756b4fe39ac326 completed May 8, 2026, 2:20 a.m.
Created at: May 1, 2026, 1:19 a.m.