Triple

T703991
Position Surface form Disambiguated ID Type / Status
Subject Czechoslovakism E14059 entity
Predicate legalExpression P10240 FINISHED
Object recognition of a single Czechoslovak nation 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: recognition of a single Czechoslovak nation | Statement: [Czechoslovakism, legalExpression, recognition of a single Czechoslovak nation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalExpression
Context triple: [Czechoslovakism, legalExpression, recognition of a single Czechoslovak nation]
  • A. logicalForm
    Indicates a relationship where an expression is associated with its structured, formal logical representation.
  • B. legalConcept chosen
    Indicates a relationship where something is classified or treated as a concept defined and governed by law or legal theory.
  • C. legalContext
    Indicates that the relationship or action occurs within, is shaped by, or is relevant to a specific legal framework, proceeding, or set of legal norms.
  • D. legalAct
    Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
  • E. legalForm
    Indicates the specific legal structure or organizational type under which an entity is formally constituted and recognized by law.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a58d4c3c8190ad4527d14bca5e6e completed March 1, 2026, 8:46 p.m.
PD Predicate disambiguation batch_69a4a4edc33881909a978268f6dd5d82 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:36 p.m.