Triple

T25377240
Position Surface form Disambiguated ID Type / Status
Subject AEC Treaty E633087 entity
Predicate stageOneFocus P77291 FINISHED
Object strengthening existing regional economic communities 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: strengthening existing regional economic communities | Statement: [AEC Treaty, stageOneFocus, strengthening existing regional economic communities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stageOneFocus
Context triple: [AEC Treaty, stageOneFocus, strengthening existing regional economic communities]
  • A. stage4Focus
    Indicates that something is the primary subject of attention or emphasis during the fourth stage of a multi-stage process or progression.
  • B. importFocus
    Indicates that attention, priority, or emphasis is being brought into or concentrated on a particular entity or aspect.
  • C. focusesOn
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • D. focusOf
    Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
  • E. stateOfFocus chosen
    Indicates the particular subject, area, or activity that an entity is currently concentrating attention or effort on.
  • 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_69e75a90c0dc819092f928b6ea0ecc72 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f55e5bbec881909bbaef7010961949 completed May 2, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69f45d0dbc8c8190beecce679fce90a4 completed May 1, 2026, 7:58 a.m.
Created at: April 21, 2026, 1:38 p.m.