Triple

T9618126
Position Surface form Disambiguated ID Type / Status
Subject 2008 United States Senate elections E232269 entity
Predicate numberOfSpecialSeatsContested P89283 FINISHED
Object 2 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: 2 | Statement: [2008 United States Senate elections, numberOfSpecialSeatsContested, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfSpecialSeatsContested
Context triple: [2008 United States Senate elections, numberOfSpecialSeatsContested, 2]
  • A. numberOfSeatsContested
    Indicates the total count of seats in an election or contest that are being competed for or are up for selection.
  • B. contestsSeatsIn
    Indicates that an individual or party is competing for elected positions within a specified electoral district or governing body.
  • C. numberOfSeatsWon
    Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
  • D. seatsFreelyContestedInSejm
    Indicates that the specified seats in the Sejm are filled through open, competitive elections without restrictions favoring particular parties or candidates.
  • E. numberOfAtLargeSeats
    Indicates the total count of at-large seats (positions not tied to specific districts or subunits) associated with an 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ab0a15481908945b50c622b71b9 completed April 1, 2026, 10:22 p.m.
PD Predicate disambiguation batch_69ccd5aa1d2c8190a287bf1cf4a3037e completed April 1, 2026, 8:22 a.m.
PDg Predicate description generation batch_69ccd93fc45c8190a823305e461e581d completed April 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 8:09 p.m.