Triple

T24739484
Position Surface form Disambiguated ID Type / Status
Subject United States Senate seat from Georgia E618510 entity
Predicate hasTitleForOfficeholder P85416 FINISHED
Object United States Senator from Georgia 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: United States Senator from Georgia | Statement: [United States Senate seat from Georgia, hasTitleForOfficeholder, United States Senator from Georgia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTitleForOfficeholder
Context triple: [United States Senate seat from Georgia, hasTitleForOfficeholder, United States Senator from Georgia]
  • A. officeHolderTitle
    Indicates the official position or title held by a person in an office or role.
  • B. residenceOfOfficeHolderTitle
    Indicates the place where a person holding a particular official title resides while in that role.
  • C. typicalOfficeHolderTitle chosen
    Indicates the standard or commonly used title typically held by the office holder of a given position or role.
  • D. notableOfficerTitle
    Indicates that an entity holds or is associated with a particularly distinguished or noteworthy officer position or title.
  • E. currentOfficeHolderTitle
    Indicates the official title or position name held by the person who currently occupies a given office or role.
  • 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_69e2fab8f95c81908bb9e552cf3280c2 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f410a25ab88190a72db43043c1f6ff completed May 1, 2026, 2:32 a.m.
PD Predicate disambiguation batch_69f40ef612c88190ab2f3f08d4a92018 completed May 1, 2026, 2:24 a.m.
Created at: April 18, 2026, 4:04 a.m.