Triple

T395480
Position Surface form Disambiguated ID Type / Status
Subject Voyager 2 E8973 entity
Predicate powerSource P1585 FINISHED
Object RTG
RTG (Radioisotope Thermoelectric Generator) is a long-lived power system that converts heat from the natural decay of radioactive material into electricity, commonly used on deep-space missions like Voyager 2.
 E49819 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: RTG | Statement: [Voyager 2, powerSource, RTG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RTG
Context triple: [Voyager 2, powerSource, RTG]
  • A. RTA
    RTA is the common abbreviation for the Regional Transportation Authority of Northeastern Illinois, the agency that oversees public transit services in the Chicago metropolitan area.
  • B. RTN
    RTN is the former stock ticker symbol for Raytheon Company, a major U.S. defense and aerospace contractor.
  • C. TRT
    TRT is the time zone used in Turkey, corresponding to UTC+3.
  • D. RHT
    RHT is the former stock ticker symbol for Red Hat, a leading open-source software company best known for its enterprise Linux operating system and related technologies.
  • E. TNT
    TNT is an American cable television network known for airing sports, movies, and original drama programming.
  • 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: RTG
Triple: [Voyager 2, powerSource, RTG]
Generated description
RTG (Radioisotope Thermoelectric Generator) is a long-lived power system that converts heat from the natural decay of radioactive material into electricity, commonly used on deep-space missions like Voyager 2.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RTG
Target entity description: RTG (Radioisotope Thermoelectric Generator) is a long-lived power system that converts heat from the natural decay of radioactive material into electricity, commonly used on deep-space missions like Voyager 2.
  • A. RTA
    RTA is the common abbreviation for the Regional Transportation Authority of Northeastern Illinois, the agency that oversees public transit services in the Chicago metropolitan area.
  • B. RTN
    RTN is the former stock ticker symbol for Raytheon Company, a major U.S. defense and aerospace contractor.
  • C. TRT
    TRT is the time zone used in Turkey, corresponding to UTC+3.
  • D. RHT
    RHT is the former stock ticker symbol for Red Hat, a leading open-source software company best known for its enterprise Linux operating system and related technologies.
  • E. TNT
    TNT is an American cable television network known for airing sports, movies, and original drama programming.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec792dd081909b6b18a854139f8c completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a405fa43448190b3e78d83e791b105 completed March 1, 2026, 9:25 a.m.
NEDg Description generation batch_69a4070f76308190bd898dcdb27f3277 completed March 1, 2026, 9:29 a.m.
NED2 Entity disambiguation (via description) batch_69a40794523081908839f90446beba83 completed March 1, 2026, 9:32 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.