Triple

T7777842
Position Surface form Disambiguated ID Type / Status
Subject NSSL E221438 entity
Predicate developed P73 FINISHED
Object Warning Decision Support System – Integrated Information E221439 NE 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: Warning Decision Support System – Integrated Information | Statement: [NSSL, developed, Warning Decision Support System – Integrated Information]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Warning Decision Support System – Integrated Information
Context triple: [NSSL, developed, Warning Decision Support System – Integrated Information]
  • A. Warning Decision Support System – Integrated Information chosen
    Warning Decision Support System – Integrated Information is a meteorological decision-support tool that integrates diverse weather data to help forecasters issue more accurate and timely severe weather warnings.
  • B. Statistical Decision Functions
    Statistical Decision Functions is a foundational work in decision theory and statistics that systematically develops the theory of optimal decision-making under uncertainty.
  • C. Automatic Warning System
    The Automatic Warning System (AWS) is a British railway safety system that alerts train drivers to signal aspects and speed restrictions and automatically applies the brakes if necessary to prevent accidents.
  • D. Continental Early Warning System
    The Continental Early Warning System is an African Union mechanism that monitors and analyzes conflict-related data across the continent to provide timely alerts for preventive diplomacy and peacekeeping.
  • E. Warning Decision Training Division
    The Warning Decision Training Division is a U.S. National Weather Service unit that develops and delivers training to improve forecasters’ ability to issue timely and accurate warnings for hazardous weather.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d4480481909d3e8a4df1345299 completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf59dfe5c8190972eb9db1b3ca043 completed March 30, 2026, 10:13 p.m.
Created at: March 30, 2026, 4:15 p.m.