Triple

T28211653
Position Surface form Disambiguated ID Type / Status
Subject Système pratique et raisonné de représentation proportionnelle E711183 entity
Predicate citationSubject P164130 FINISHED
Object history of proportional representation 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: history of proportional representation | Statement: [Système pratique et raisonné de représentation proportionnelle, citationSubject, history of proportional representation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: citationSubject
Context triple: [Système pratique et raisonné de représentation proportionnelle, citationSubject, history of proportional representation]
  • A. citationOf
    Indicates that one entity cites, references, or formally acknowledges another entity as a source.
  • B. citationType
    Indicates the specific kind or category of citation relationship that one entity has to another (e.g., reference, quotation, acknowledgment).
  • C. citationBy
    Indicates that one work is cited or referenced by another work.
  • D. citationIn
    Indicates that one work cites, references, or otherwise acknowledges another work as a source.
  • E. citationAs
    Indicates that one entity is cited or referenced in the role or capacity specified by another entity (such as a particular work, version, or context).
  • F. None of above. chosen

Provenance (4 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_69efb51cb5288190818c1f63a266af11 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f64312f0f081909d8cb61e9cd52b16 completed May 2, 2026, 6:31 p.m.
PD Predicate disambiguation batch_69f63c6c1a948190b68c0f92c264cc0c completed May 2, 2026, 6:03 p.m.
PDg Predicate description generation batch_69f63fd4f7448190930c723ba7cfce62 completed May 2, 2026, 6:17 p.m.
Created at: April 27, 2026, 10:39 p.m.