Triple

T9106940
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Economy and Planning of Saudi Arabia E218500 entity
Predicate usesPlanningHorizon P38657 FINISHED
Object long term 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: long term | Statement: [Ministry of Economy and Planning of Saudi Arabia, usesPlanningHorizon, long term]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesPlanningHorizon
Context triple: [Ministry of Economy and Planning of Saudi Arabia, usesPlanningHorizon, long term]
  • A. predictionHorizon
    Indicates the temporal extent into the future over which a prediction or forecast is intended to apply.
  • B. goalHorizon chosen
    Indicates the temporal or planning horizon within which a goal is intended to be pursued or achieved.
  • C. hasPlanningFunction
    Indicates that an entity is responsible for or involved in planning, organizing, or determining future actions or strategies.
  • D. hasPlanningLevel
    Indicates that an entity is associated with a specific stage, tier, or granularity within a planning or scheduling hierarchy.
  • E. plannedWith
    Indicates that an entity created or arranged a plan in collaboration or coordination 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca573da0081909f4afcdb3ac99c53 completed April 1, 2026, 4:56 a.m.
PD Predicate disambiguation batch_69cc65fe5be081909d4470d6317b14a6 completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:16 p.m.