Triple

T31732900
Position Surface form Disambiguated ID Type / Status
Subject 2017 United States Senate special election in Alabama E809907 entity
Predicate tookOfficeDateOfWinner P72790 FINISHED
Object January 3, 2018 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: January 3, 2018 | Statement: [2017 United States Senate special election in Alabama, tookOfficeDateOfWinner, January 3, 2018]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tookOfficeDateOfWinner
Context triple: [2017 United States Senate special election in Alabama, tookOfficeDateOfWinner, January 3, 2018]
  • A. tookOfficeAfter
    Indicates that one entity assumed an official position or office at a later time than another entity did.
  • B. tookOfficeDuring
    Indicates that one entity assumed or held an official position within the time period defined by another entity or event.
  • C. termOfOfficeInaugurated chosen
    Indicates the event or date on which an individual officially begins their term of office through an inauguration.
  • D. inauguratedFor
    Indicates that a formal ceremony or event was held to officially begin or dedicate something specifically for a particular entity, role, or purpose.
  • E. presidentSince
    Indicates that one entity has held the office of president of another entity starting from a specified point in time.
  • 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_69f348e0e4908190a884582eca646fb7 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ab209e18819090205ebc68a0dfbf completed May 3, 2026, 1:55 a.m.
PD Predicate disambiguation batch_69f6aa20a1588190a53533fc9764efb2 completed May 3, 2026, 1:51 a.m.
Created at: April 30, 2026, 11:22 p.m.