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
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.
|
E1360281
|
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: 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.
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: MSCoE Triple: [U.S. Army Maneuver Support Center of Excellence, shortName, MSCoE]
Generated 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.
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 (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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e39617408190b5134918f54f9c52 |
completed | April 20, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05e66ffaf481909c31c007cb165147 |
completed | May 14, 2026, 3:12 p.m. |
| NEDg | Description generation | batch_6a05e9cc2f90819082679876c6a713b5 |
completed | May 14, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06ee0aa8748190bf2ac6740f47c591 |
completed | May 15, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:05 p.m.