Triple

T8822743
Position Surface form Disambiguated ID Type / Status
Subject NVIDIA Jetson embedded modules E209944 entity
Predicate usedIn P98 FINISHED
Object AMRs
AMRs (Autonomous Mobile Robots) are self-navigating robotic systems that use sensors, computing, and AI to move and operate independently in environments such as warehouses, factories, and hospitals.
E758265 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: AMRs | Statement: [NVIDIA Jetson embedded modules, usedIn, AMRs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMRs
Context triple: [NVIDIA Jetson embedded modules, usedIn, AMRs]
  • A. AMR
    AMR is the commonly used abbreviation for the Russian professional ice hockey club Amur Khabarovsk, which competes in the Kontinental Hockey League (KHL).
  • B. AMRO
    AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
  • C. AMPS
    AMPS (Advanced Mobile Phone System) is an early analog mobile phone standard that was widely used in North America before the transition to digital cellular technologies.
  • D. AMX
    AMX is a Dutch stock market index that tracks the performance of mid-cap companies listed on Euronext Amsterdam.
  • E. AMX
    AMX is the ICAO airline designator used to identify Aeroméxico in international aviation operations and communications.
  • 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: AMRs
Triple: [NVIDIA Jetson embedded modules, usedIn, AMRs]
Generated description
AMRs (Autonomous Mobile Robots) are self-navigating robotic systems that use sensors, computing, and AI to move and operate independently in environments such as warehouses, factories, and hospitals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AMRs
Target entity description: AMRs (Autonomous Mobile Robots) are self-navigating robotic systems that use sensors, computing, and AI to move and operate independently in environments such as warehouses, factories, and hospitals.
  • A. AMR
    AMR is the commonly used abbreviation for the Russian professional ice hockey club Amur Khabarovsk, which competes in the Kontinental Hockey League (KHL).
  • B. AMRO
    AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
  • C. AMPS
    AMPS (Advanced Mobile Phone System) is an early analog mobile phone standard that was widely used in North America before the transition to digital cellular technologies.
  • D. AMX
    AMX is a Dutch stock market index that tracks the performance of mid-cap companies listed on Euronext Amsterdam.
  • E. AMX
    AMX is the ICAO airline designator used to identify Aeroméxico in international aviation operations and communications.
  • 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc602ed87c8190ab772e5cbb2da68d completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf6fd3b3348190a63bfd29860cc95f completed April 3, 2026, 7:44 a.m.
NEDg Description generation batch_69cf70c981808190856827fbcd4c4671 completed April 3, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69cf71914ec48190bd623d8d773e7ca7 completed April 3, 2026, 7:51 a.m.
Created at: March 30, 2026, 6:46 p.m.