Triple

T1705965
Position Surface form Disambiguated ID Type / Status
Subject Assembleia da República E36872 entity
Predicate usesConstituencies P15309 FINISHED
Object multi-member constituencies 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: multi-member constituencies | Statement: [Assembleia da República, usesConstituencies, multi-member constituencies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesConstituencies
Context triple: [Assembleia da República, usesConstituencies, multi-member constituencies]
  • A. electoralConstituencies
    Indicates a relationship where a geographic or political area is divided into specific electoral constituencies used for representation or voting.
  • B. constituency
    Indicates that one entity functions as a constituent or component part within the structural or organizational makeup of another entity.
  • C. hasNumberOfConstituencies
    Indicates the specific count of constituencies associated with an entity.
  • D. constituencyType chosen
    Indicates the specific kind or category of electoral or representative district to which an entity belongs or refers.
  • E. parliamentaryConstituency
    Indicates that one entity serves as the parliamentary constituency to which the other entity (such as a place or representative) is formally linked or assigned.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab75ad24408190814069e6e3ef9e59 completed March 7, 2026, 12:47 a.m.
PD Predicate disambiguation batch_69aa61bad17c8190861b92cfb423f68f completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:30 p.m.