Triple

T1352669
Position Surface form Disambiguated ID Type / Status
Subject U.S. Army Maneuver Center of Excellence E28916 entity
Predicate abbreviation P43 FINISHED
Object MCoE
MCoE is the U.S. Army’s primary training and doctrine center for maneuver forces, integrating infantry, armor, and related capabilities at Fort Moore, Georgia.
E154838 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: MCoE | Statement: [U.S. Army Maneuver Center of Excellence, abbreviation, MCoE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MCoE
Context triple: [U.S. Army Maneuver Center of Excellence, abbreviation, MCoE]
  • A. MCO
    MCO is the National Rail station code used to identify Oxford Road railway station in Manchester, England.
  • B. MCO
    MCO is the IATA airport code for Orlando International Airport, a major air travel hub serving the Orlando, Florida metropolitan area and its tourist attractions.
  • C. MCO
    MCO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Principality of Monaco.
  • D. CoE
    CoE is the commonly used abbreviation for the Council of Europe, a pan-European intergovernmental organization focused on promoting human rights, democracy, and the rule of law.
  • E. M-Code
    M-Code is an advanced, encrypted military GPS signal designed to provide more secure and jam-resistant positioning and navigation for authorized users.
  • 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: MCoE
Triple: [U.S. Army Maneuver Center of Excellence, abbreviation, MCoE]
Generated description
MCoE is the U.S. Army’s primary training and doctrine center for maneuver forces, integrating infantry, armor, and related capabilities at Fort Moore, Georgia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MCoE
Target entity description: MCoE is the U.S. Army’s primary training and doctrine center for maneuver forces, integrating infantry, armor, and related capabilities at Fort Moore, Georgia.
  • A. MCO
    MCO is the National Rail station code used to identify Oxford Road railway station in Manchester, England.
  • B. MCO
    MCO is the IATA airport code for Orlando International Airport, a major air travel hub serving the Orlando, Florida metropolitan area and its tourist attractions.
  • C. MCO
    MCO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Principality of Monaco.
  • D. CoE
    CoE is the commonly used abbreviation for the Council of Europe, a pan-European intergovernmental organization focused on promoting human rights, democracy, and the rule of law.
  • E. M-Code
    M-Code is an advanced, encrypted military GPS signal designed to provide more secure and jam-resistant positioning and navigation for authorized users.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26d0c4481908fddda89242a57b3 completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc64032d08190986c8b12bbcfc7c2 completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc6c204a88190a3171898e6e1bb91 completed March 8, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69acc7d8df108190bf92ca5e33987d04 completed March 8, 2026, 12:50 a.m.
Created at: March 1, 2026, 7:56 p.m.