Triple

T10107543
Position Surface form Disambiguated ID Type / Status
Subject 1944 United States Senate election in Connecticut E216358 entity
Predicate officeClass P14964 FINISHED
Object Class 3 United States Senate seat from Connecticut 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: Class 3 United States Senate seat from Connecticut | Statement: [1944 United States Senate election in Connecticut, officeClass, Class 3 United States Senate seat from Connecticut]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officeClass
Context triple: [1944 United States Senate election in Connecticut, officeClass, Class 3 United States Senate seat from Connecticut]
  • A. office
    Indicates that an entity holds or occupies an official position, role, or post within an organization or institution.
  • B. officeIn
    Indicates that one entity has an office located within the premises or jurisdiction of another entity.
  • C. officeCategory chosen
    Indicates the classification or type of an office within a defined categorization scheme.
  • D. officeUnder
    Indicates that one office is subordinate to, managed by, or organizationally within the authority of another office.
  • E. officeTerm
    Indicates the period of time during which an individual officially holds a particular position or office.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd0ca7f7c8190ba7ed37940aa933d completed April 2, 2026, 2:13 a.m.
PD Predicate disambiguation batch_69cd4b9ed7e48190aa132ef8a69b49f9 completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:03 p.m.