Triple

T9309281
Position Surface form Disambiguated ID Type / Status
Subject NATO land forces E223967 entity
Predicate hasPart P35 FINISHED
Object NATO reconnaissance units
NATO reconnaissance units are specialized military elements tasked with gathering intelligence and providing situational awareness to support the planning and operations of NATO land forces.
E792048 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: NATO reconnaissance units | Statement: [NATO land forces, hasPart, NATO reconnaissance units]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NATO reconnaissance units
Context triple: [NATO land forces, hasPart, NATO reconnaissance units]
  • A. NATO operational support units
    NATO operational support units are specialized formations that provide essential logistical, communications, engineering, medical, and other enabling services to ensure the effective deployment and sustainment of NATO military operations.
  • B. NATO force protection staffs
    NATO force protection staffs are specialized military planning and coordination teams within the Alliance responsible for assessing threats and implementing measures to safeguard NATO personnel, assets, and operations.
  • C. NATO military police forces
    NATO military police forces are multinational military law enforcement units within the North Atlantic Treaty Organization responsible for maintaining discipline, security, and order among allied armed forces during operations and deployments.
  • D. Provincial Reconnaissance Units
    Provincial Reconnaissance Units were South Vietnamese special police and paramilitary teams, organized and supported by the U.S., that conducted intelligence-driven operations to identify, capture, or kill suspected Viet Cong cadre during the Vietnam War.
  • E. NATO Response Force
    The NATO Response Force is a highly ready, multinational military force capable of rapid deployment to respond to crises and threats against NATO members.
  • 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: NATO reconnaissance units
Triple: [NATO land forces, hasPart, NATO reconnaissance units]
Generated description
NATO reconnaissance units are specialized military elements tasked with gathering intelligence and providing situational awareness to support the planning and operations of NATO land forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NATO reconnaissance units
Target entity description: NATO reconnaissance units are specialized military elements tasked with gathering intelligence and providing situational awareness to support the planning and operations of NATO land forces.
  • A. NATO operational support units
    NATO operational support units are specialized formations that provide essential logistical, communications, engineering, medical, and other enabling services to ensure the effective deployment and sustainment of NATO military operations.
  • B. NATO force protection staffs
    NATO force protection staffs are specialized military planning and coordination teams within the Alliance responsible for assessing threats and implementing measures to safeguard NATO personnel, assets, and operations.
  • C. NATO military police forces
    NATO military police forces are multinational military law enforcement units within the North Atlantic Treaty Organization responsible for maintaining discipline, security, and order among allied armed forces during operations and deployments.
  • D. Provincial Reconnaissance Units
    Provincial Reconnaissance Units were South Vietnamese special police and paramilitary teams, organized and supported by the U.S., that conducted intelligence-driven operations to identify, capture, or kill suspected Viet Cong cadre during the Vietnam War.
  • E. NATO Response Force
    The NATO Response Force is a highly ready, multinational military force capable of rapid deployment to respond to crises and threats against NATO members.
  • 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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd1daba67c819081d53545d67ef127 completed April 1, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c784f24481909af5f0daa1b8333a completed April 4, 2026, 8:10 a.m.
NEDg Description generation batch_69d0ca52acac8190aef4b5fa11594050 completed April 4, 2026, 8:22 a.m.
NED2 Entity disambiguation (via description) batch_69d0cc0968448190a89d8ea82d0c8102 completed April 4, 2026, 8:30 a.m.
Created at: March 30, 2026, 7:37 p.m.