Triple

T906632
Position Surface form Disambiguated ID Type / Status
Subject Francoist Spain E19561 entity
Predicate minorityLanguagePolicy P22563 FINISHED
Object repression of Catalan 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: repression of Catalan | Statement: [Francoist Spain, minorityLanguagePolicy, repression of Catalan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: minorityLanguagePolicy
Context triple: [Francoist Spain, minorityLanguagePolicy, repression of Catalan]
  • A. hasOfficialLanguagePolicy
    Indicates that there exists a formally adopted rule or set of rules governing the use, status, or regulation of one or more languages within a given context or jurisdiction.
  • B. isOfficialMinorityLanguageIn
    Indicates that a language has formal, legally recognized minority-language status within a specified political or geographic entity.
  • C. nationalLanguageStatus
    Indicates that a language holds official or nationally recognized status within a country or political entity.
  • D. majorityLanguageOf
    Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
  • E. officialLanguage
    Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3bcad2481908b83575b2fb80d14 completed March 1, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69a4b28ff5948190982c4439eadf9d87 completed March 1, 2026, 9:41 p.m.
PDg Predicate description generation batch_69a4b3bab5788190a62a0e23a698f7c7 completed March 1, 2026, 9:46 p.m.
Created at: March 1, 2026, 7:39 p.m.