Triple

T6516331
Position Surface form Disambiguated ID Type / Status
Subject Joint Operation Planning and Execution System E148272 entity
Predicate abbreviation P43 FINISHED
Object JOPES
JOPES is the U.S. military’s primary system for planning, coordinating, and executing joint operations across multiple services and commands.
 E605878 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: JOPES | Statement: [Joint Operation Planning and Execution System, abbreviation, JOPES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JOPES
Context triple: [Joint Operation Planning and Execution System, abbreviation, JOPES]
  • A. JPO
    JPO is an acronym commonly used for the Joint Program Office, a centralized organization that manages and oversees major joint military acquisition programs.
  • B. JEP
    JEP is a leading peer-reviewed academic journal that publishes accessible, survey-style articles on a wide range of economics topics for both specialists and informed non-specialists.
  • C. JOG
    JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
  • D. JOK
    JOK is the standard abbreviation used for Jokerit, a professional ice hockey club based in Helsinki, Finland.
  • E. Jobes
    Jobes is an alternative spelling variant of the surname Jobs, most notably associated by similarity with Apple co-founder Steve Jobs.
  • 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: JOPES
Triple: [Joint Operation Planning and Execution System, abbreviation, JOPES]
Generated description
JOPES is the U.S. military’s primary system for planning, coordinating, and executing joint operations across multiple services and commands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JOPES
Target entity description: JOPES is the U.S. military’s primary system for planning, coordinating, and executing joint operations across multiple services and commands.
  • A. JPO
    JPO is an acronym commonly used for the Joint Program Office, a centralized organization that manages and oversees major joint military acquisition programs.
  • B. JEP
    JEP is a leading peer-reviewed academic journal that publishes accessible, survey-style articles on a wide range of economics topics for both specialists and informed non-specialists.
  • C. JOG
    JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
  • D. JOK
    JOK is the standard abbreviation used for Jokerit, a professional ice hockey club based in Helsinki, Finland.
  • E. Jobes
    Jobes is an alternative spelling variant of the surname Jobs, most notably associated by similarity with Apple co-founder Steve Jobs.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac0d395081908fe6b1f9a912f095 completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5156e848190a6616497708d421c completed March 27, 2026, 7:05 p.m.
NEDg Description generation batch_69c6d6732d9c8190878b54902306b128 completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d830ed6c8190a39126d97a5246d3 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:44 p.m.