Triple

T4062949
Position Surface form Disambiguated ID Type / Status
Subject TPWS E86256 entity
Predicate relatedTo P37 FINISHED
Object 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.
E412123 NE FINISHED

How this triple was built (4 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: Automatic Warning System | Statement: [TPWS, relatedTo, Automatic Warning System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Automatic Warning System
Context triple: [TPWS, relatedTo, Automatic Warning System]
  • A. Train Protection & Warning System
    Train Protection & Warning System is a British railway safety system designed to automatically stop or slow trains to prevent collisions and signal passed at danger incidents.
  • B. Integrated Public Alert and Warning System
    The Integrated Public Alert and Warning System (IPAWS) is the U.S. national system that enables authorities to quickly disseminate emergency alerts and warnings across multiple communication channels, including mobile phones, television, and radio.
  • C. ADAS
    ADAS (Advanced Driver Assistance Systems) are in-vehicle technologies designed to enhance driving safety and comfort by assisting the driver with functions such as collision avoidance, lane keeping, and adaptive cruise control.
  • D. Warning Decision Support System – Integrated Information
    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.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Automatic Warning System
Triple: [TPWS, relatedTo, Automatic Warning System]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Automatic Warning System
Target entity description: 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.
  • A. Train Protection & Warning System
    Train Protection & Warning System is a British railway safety system designed to automatically stop or slow trains to prevent collisions and signal passed at danger incidents.
  • B. Integrated Public Alert and Warning System
    The Integrated Public Alert and Warning System (IPAWS) is the U.S. national system that enables authorities to quickly disseminate emergency alerts and warnings across multiple communication channels, including mobile phones, television, and radio.
  • C. ADAS
    ADAS (Advanced Driver Assistance Systems) are in-vehicle technologies designed to enhance driving safety and comfort by assisting the driver with functions such as collision avoidance, lane keeping, and adaptive cruise control.
  • D. Warning Decision Support System – Integrated Information
    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.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd60cc081908764fcc8206bc1ef completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b55b5388190a90551c43388f3fc completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56bdcfa94819096df212e6e99937e completed March 14, 2026, 2:08 p.m.
NED2 Entity disambiguation (via description) batch_69b56c5e73e88190896176180a9e58cd completed March 14, 2026, 2:10 p.m.
Created at: March 9, 2026, 3:38 p.m.