Triple

T19113638
Position Surface form Disambiguated ID Type / Status
Subject U.S. Army Maneuver Support Center of Excellence E467851 entity
Predicate shortName P43 FINISHED
Object MSCoE NE NERFINISHED

How this triple was built (3 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: MSCoE | Statement: [U.S. Army Maneuver Support Center of Excellence, shortName, MSCoE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MSCoE
Context triple: [U.S. Army Maneuver Support Center of Excellence, shortName, MSCoE]
  • A. 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.
  • B. SCoE
    SCoE is the U.S. Army’s Sustainment Center of Excellence, responsible for developing doctrine, training, and capabilities for logistics and sustainment operations.
  • C. MCCoE
    MCCoE is a U.S. Army organization responsible for developing and integrating mission command doctrine, concepts, and training across the force.
  • D. MSCOCO
    MSCOCO is a large-scale benchmark dataset of everyday images with rich object annotations and human-written captions, widely used for training and evaluating computer vision and image captioning models.
  • E. MCO
    MCO is the National Rail station code used to identify Oxford Road railway station in Manchester, England.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MSCoE
Target entity description: MSCoE is a U.S. Army training and doctrine center at Fort Leonard Wood that develops and integrates capabilities for maneuver support branches such as engineer, military police, and chemical corps.
  • A. 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.
  • B. SCoE
    SCoE is the U.S. Army’s Sustainment Center of Excellence, responsible for developing doctrine, training, and capabilities for logistics and sustainment operations.
  • C. MCCoE
    MCCoE is a U.S. Army organization responsible for developing and integrating mission command doctrine, concepts, and training across the force.
  • D. MSCOCO
    MSCOCO is a large-scale benchmark dataset of everyday images with rich object annotations and human-written captions, widely used for training and evaluating computer vision and image captioning models.
  • E. MCO
    MCO is the stock ticker symbol for Moody's Corporation, a leading global provider of credit ratings, research, and risk analysis.
  • F. None of above. chosen

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e39617408190b5134918f54f9c52 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.