Triple

T28475282
Position Surface form Disambiguated ID Type / Status
Subject Chamber of Fasces and Corporations E720543 entity
Predicate replacedElectiveBody P124713 FINISHED
Object elected Chamber of Deputies 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: elected Chamber of Deputies | Statement: [Chamber of Fasces and Corporations, replacedElectiveBody, elected Chamber of Deputies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: replacedElectiveBody
Context triple: [Chamber of Fasces and Corporations, replacedElectiveBody, elected Chamber of Deputies]
  • A. electiveBody
    Indicates that one entity is an official group or assembly whose members are chosen through an election process by another entity.
  • B. replacedBody
    Indicates that one entity has taken the place of another entity’s body, substituting it in whole or in part.
  • C. electedReplacement chosen
    Indicates that one entity has been chosen through an election process to take over the role, position, or function previously held by another entity.
  • D. replacedBodyType
    Indicates that one body type has been substituted or superseded by another body type.
  • E. electsForBody
    Indicates that one entity chooses or votes to select another entity to serve as a member of a governing or decision-making body.
  • 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_69f01a5983f48190b7c1b8857245a4f7 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f739a638748190808e7a2930dce16e completed May 3, 2026, 12:03 p.m.
PD Predicate disambiguation batch_69f732f2dc6c8190a4e86da98cc5eb05 completed May 3, 2026, 11:35 a.m.
Created at: April 28, 2026, 2:51 a.m.