Triple

T3612825
Position Surface form Disambiguated ID Type / Status
Subject Eco E76527 entity
Predicate expectedBenefit P49949 FINISHED
Object reduction of transaction costs in intra-regional trade 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: reduction of transaction costs in intra-regional trade | Statement: [Eco, expectedBenefit, reduction of transaction costs in intra-regional trade]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: expectedBenefit
Context triple: [Eco, expectedBenefit, reduction of transaction costs in intra-regional trade]
  • A. believedBenefit
    Indicates that one entity considers or perceives another entity, action, or state as providing an advantage or positive outcome.
  • B. exclusiveBenefit
    Indicates that a benefit is provided to one party or group in a way that excludes others from receiving the same advantage.
  • C. hasBenefit
    Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
  • D. primaryBenefit
    Indicates that one entity serves as the main or most important advantage, gain, or positive outcome associated with another entity.
  • E. benefits
    Indicates that one entity gains an advantage, improvement, or positive outcome as a result of another entity or action.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2786f808190be4e42734a79d74e completed March 8, 2026, 6:39 p.m.
PD Predicate disambiguation batch_69adb83d8b1c8190b3bddbc5dc995a87 completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb8e4ba948190a9b777cf7f788b96 completed March 8, 2026, 5:59 p.m.
Created at: March 8, 2026, 3:23 p.m.