Triple

T18180316
Position Surface form Disambiguated ID Type / Status
Subject John Fetterman E435262 entity
Predicate startTimeOfPosition United States Senator from Pennsylvania P25747 FINISHED
Object 2023-01-03 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: 2023-01-03 | Statement: [John Fetterman, startTimeOfPosition United States Senator from Pennsylvania, 2023-01-03]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: startTimeOfPosition United States Senator from Pennsylvania
Context triple: [John Fetterman, startTimeOfPosition United States Senator from Pennsylvania, 2023-01-03]
  • A. officeStartTime (United States Senator)
    Indicates the time at which a United States Senator’s term in office officially begins.
  • B. startTime (United States Senator)
    Indicates the point in time at which an individual’s service as a United States Senator begins.
  • C. startTimeAsUSCongressSeat
    Indicates the date and time at which an individual officially begins serving in a specific seat in the U.S. Congress.
  • D. startTimeAsUnitedStatesSenator chosen
    Indicates the date and time at which an individual began serving in the role of United States Senator.
  • E. officeStartTime (Lieutenant Governor of Pennsylvania)
    Indicates the time at which the Lieutenant Governor of Pennsylvania officially begins their term in 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffa75a081908dad0dcbd736172d completed April 19, 2026, 2 p.m.
PD Predicate disambiguation batch_69e4331baeb88190b21f50a98c36c78e completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:31 a.m.