Triple

T30868034
Position Surface form Disambiguated ID Type / Status
Subject Jiusan Society E786256 entity
Predicate numberOfMajorMinorPartiesInSystem P34865 FINISHED
Object 8 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: 8 | Statement: [Jiusan Society, numberOfMajorMinorPartiesInSystem, 8]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfMajorMinorPartiesInSystem
Context triple: [Jiusan Society, numberOfMajorMinorPartiesInSystem, 8]
  • A. hasNumberOfParties chosen
    Indicates the total count of distinct parties or participants involved in a given relationship, agreement, or event.
  • B. hasMajorParties
    Indicates that an entity is associated with its primary participating parties or main involved groups.
  • C. numberOfPartiesWinningSeats
    Indicates the total count of distinct parties that have secured at least one seat in an election or representative body.
  • D. numberOfPartiesInChamber
    Indicates the total count of distinct parties represented within a specific legislative chamber.
  • E. multiPartySystem
    Indicates a relationship in which more than two distinct parties or entities are jointly involved in a shared process, interaction, or system.
  • 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_69f224b9df2c819086f55f8bcf7f382e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a00acf86e4081909aad9356650e0f79 completed May 10, 2026, 4:06 p.m.
PD Predicate disambiguation batch_6a00ac813fd08190a0a7782609e74e70 completed May 10, 2026, 4:04 p.m.
Created at: April 29, 2026, 8:47 p.m.