Triple

T25970880
Position Surface form Disambiguated ID Type / Status
Subject Protectionist Conservatives E645803 entity
Predicate typeOfProtectionism P74722 FINISHED
Object agricultural protectionism 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: agricultural protectionism | Statement: [Protectionist Conservatives, typeOfProtectionism, agricultural protectionism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfProtectionism
Context triple: [Protectionist Conservatives, typeOfProtectionism, agricultural protectionism]
  • A. tradePolicyType chosen
    Indicates the specific category or kind of trade policy that characterizes or governs a given trade-related entity or arrangement.
  • B. protectionType
    Indicates the kind or method of protection that is applied to or associated with an entity.
  • C. tradePolicyInstrument
    Indicates a relationship where a specific policy tool or measure is used or applied as part of a broader trade policy.
  • D. hasStricterTradeControlsThan
    Indicates that one entity enforces more restrictive or rigorous trade regulations or controls than another entity.
  • E. internationalProtectionInstrument
    Indicates that an entity is governed, defined, or affected by an international legal or policy instrument related to protection (e.g., of refugees, human rights, or other vulnerable groups).
  • 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_69e77e8768648190b27bb578f14bcb88 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f79f48acec8190a9d5964581a94f6c completed May 3, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69f79e4888248190be2f63cdfb5cd7b7 completed May 3, 2026, 7:13 p.m.
Created at: April 22, 2026, 8:50 a.m.