Triple

T6528537
Position Surface form Disambiguated ID Type / Status
Subject Donna Edwards E151366 entity
Predicate election contested P36644 FINISHED
Object 2016 United States Senate election in Maryland 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: 2016 United States Senate election in Maryland | Statement: [Donna Edwards, election contested, 2016 United States Senate election in Maryland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: election contested
Context triple: [Donna Edwards, election contested, 2016 United States Senate election in Maryland]
  • A. hasOfficeContested chosen
    Indicates that an individual has been a candidate for a particular public office in an election.
  • B. wasContestedBetween
    Indicates that an event, position, or resource was the subject of competition or dispute involving two or more opposing parties.
  • C. wasContestedIn
    Indicates that an event, position, or decision was the subject of competition, dispute, or challenge within a particular context or proceeding.
  • D. capitalContested
    Indicates that the status of being the capital of a region or country is disputed or claimed by multiple parties.
  • E. electionContests
    Indicates that one election is in competition with, or formally challenges the outcome or validity of, another election.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ada9c8408190b1bc327985366be9 completed March 27, 2026, 4:17 p.m.
PD Predicate disambiguation batch_69c68abd9c7c819099e4fe8097cd1b28 completed March 27, 2026, 1:48 p.m.
Created at: March 27, 2026, 1:46 p.m.