Triple

T19602244
Position Surface form Disambiguated ID Type / Status
Subject Francoist emergency and public order laws E470508 entity
Predicate appliedInGovernment P23524 FINISHED
Object Franco regime 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: Franco regime | Statement: [Francoist emergency and public order laws, appliedInGovernment, Franco regime]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliedInGovernment
Context triple: [Francoist emergency and public order laws, appliedInGovernment, Franco regime]
  • A. usedInGovernmentIn chosen
    Indicates that something is employed, applied, or functions within the context of a specific government or governmental system.
  • B. includeGovernmentOf
    Indicates that one entity contains, encompasses, or incorporates the government of another entity as part of its structure or scope.
  • C. governmentInvolvement
    Indicates that a government participates in, influences, regulates, or otherwise plays a role in the specified activity, process, or entity.
  • D. inGovernment
    Indicates that an entity holds a position or role within a governmental body or institution.
  • E. supportedGovernment
    Indicates that one entity provided assistance, endorsement, or backing to a particular government or governing authority.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64080a57c8190837cbe82b93163bf completed April 20, 2026, 3:04 p.m.
PD Predicate disambiguation batch_69e514e166dc8190a0f147e0b4c8bbe7 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:43 p.m.