Triple

T29439668
Position Surface form Disambiguated ID Type / Status
Subject TRACECA corridor E746674 entity
Predicate supportsPolicyObjective P39536 FINISHED
Object development of alternative energy and trade routes 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: development of alternative energy and trade routes | Statement: [TRACECA corridor, supportsPolicyObjective, development of alternative energy and trade routes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsPolicyObjective
Context triple: [TRACECA corridor, supportsPolicyObjective, development of alternative energy and trade routes]
  • A. supportsPolicyGoal chosen
    Indicates that one entity’s actions, positions, or characteristics help advance, uphold, or contribute to achieving a specified policy goal.
  • B. supportsPolicy
    Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
  • C. supportsPolicyAgendaOf
    Indicates that one entity actively endorses, promotes, or works to advance the policy agenda set by another entity.
  • D. hasPolicyGoal
    Indicates that an entity is associated with, or aims to achieve, a specific policy objective or target.
  • E. supportsPolicyArea
    Indicates that one entity endorses, advocates for, or is in favor of a particular policy area or domain of public policy.
  • 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_69f0a7a180e48190ae775e40047dbcb5 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e0f3d88190a4ee7b0673f1ef90 completed May 12, 2026, 7:05 p.m.
Created at: April 28, 2026, 3:20 p.m.