Triple

T8083665
Position Surface form Disambiguated ID Type / Status
Subject Single Transferable Vote E188677 entity
Predicate canUseQuotaType P9928 FINISHED
Object Hare quota 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: Hare quota | Statement: [Single Transferable Vote, canUseQuotaType, Hare quota]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canUseQuotaType
Context triple: [Single Transferable Vote, canUseQuotaType, Hare quota]
  • A. supportsProjectQuotas
    Indicates that one entity provides or enables project-specific quota limits or enforcement for another entity.
  • B. canUse chosen
    Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
  • C. hasCapacityType
    Indicates that an entity possesses a specific kind or classification of capacity or capability.
  • D. canUseNetworkType
    Indicates that an entity is permitted or able to operate using a specified type of network.
  • E. canBeExceededIn
    Indicates that one entity’s value, level, or extent is capable of being surpassed by that of another entity within a specified context.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb415e61ac81909e924aea69a7ff77 completed March 31, 2026, 3:37 a.m.
PD Predicate disambiguation batch_69cb049f1614819087360d1a4c6f0faa completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:29 p.m.