Triple

T3852613
Position Surface form Disambiguated ID Type / Status
Subject U.S. Commercial Service officers E85331 entity
Predicate missionAlignment P38324 FINISHED
Object support U.S. trade policy objectives 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: support U.S. trade policy objectives | Statement: [U.S. Commercial Service officers, missionAlignment, support U.S. trade policy objectives]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: missionAlignment
Context triple: [U.S. Commercial Service officers, missionAlignment, support U.S. trade policy objectives]
  • A. policyAlignment chosen
    Indicates the degree to which one entity’s policies are consistent with, supportive of, or in agreement with those of another entity.
  • B. missionFocus
    Indicates that an entity’s primary attention, effort, or resources are directed toward a particular mission, goal, or objective.
  • C. mission
    Indicates that an entity is assigned or engaged in a specific task, operation, or purpose-directed undertaking.
  • D. missionScope
    Indicates the defined range, objectives, and boundaries within which a mission or operation is intended to be carried out.
  • E. intendedMission
    Indicates that one entity is the planned or designated mission, task, or objective associated with another entity.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec01f7b48190ba1ec89328b3fccb completed March 9, 2026, 3:49 p.m.
PD Predicate disambiguation batch_69aee750377c8190af70c79768c0edd8 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:19 p.m.