Triple

T14463315
Position Surface form Disambiguated ID Type / Status
Subject Diribitorium E358639 entity
Predicate typeOfElectoralActivity P31563 FINISHED
Object vote counting 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: vote counting | Statement: [Diribitorium, typeOfElectoralActivity, vote counting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfElectoralActivity
Context triple: [Diribitorium, typeOfElectoralActivity, vote counting]
  • A. electoralActivity
    Indicates involvement in activities related to organizing, participating in, or influencing an election or electoral process.
  • B. genreOfPoliticalActivity chosen
    Indicates the specific type or category of political activity that characterizes or classifies a given political action or engagement.
  • C. electionParticipatedIn
    Indicates that an entity took part as a candidate, voter, organizer, or in another official capacity in a specific election.
  • D. postPoliticalActivity
    Indicates that an entity engages in political actions or activities following a particular event, period, or condition.
  • E. electoralNature
    Indicates that something has the character, features, or conditions related to elections or the electoral 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91ad67bc81908ecdaa7262f6dc55 completed April 14, 2026, 7:12 p.m.
PD Predicate disambiguation batch_69de5c42bd3c81909a62acf30cc24d1e completed April 14, 2026, 3:24 p.m.
Created at: April 10, 2026, 1:19 a.m.