Triple

T27823579
Position Surface form Disambiguated ID Type / Status
Subject Republic of China presidential elections E702885 entity
Predicate ballotCounting P99881 FINISHED
Object public counting at polling stations 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: public counting at polling stations | Statement: [Republic of China presidential elections, ballotCounting, public counting at polling stations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ballotCounting
Context triple: [Republic of China presidential elections, ballotCounting, public counting at polling stations]
  • A. ballotsCountedBy chosen
    Indicates that the ballots in an election or vote are counted or tallied by a specified person, group, or entity.
  • B. numberOfBallots
    Indicates the total count of ballots associated with a particular election, contest, or voting event.
  • C. ballot
    Indicates that an entity participates in a formal voting process, typically by casting or submitting a vote or choice.
  • D. ballotStatus
    Indicates the current state or outcome of a ballot within a voting or decision-making process.
  • E. ballotNumber
    Indicates the specific numerical identifier assigned to a ballot within an election or voting process.
  • 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_69ef840ad1e88190b5bff2d1ddec8700 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f643ed0b7481908cf25f3afec0a61d completed May 2, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69f641def1e88190a05bf865ced78b23 completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 5:50 p.m.