Triple
T10651560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Army Multi-Terrain Pattern (MTP) combat dress |
E250981
|
entity |
| Predicate | camouflagePattern |
P1200
|
FINISHED |
| Object |
Multi-Terrain Pattern
Multi-Terrain Pattern is a British military camouflage design created to provide effective concealment across a wide range of environments and terrains.
|
E877282
|
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: Multi-Terrain Pattern | Statement: [British Army Multi-Terrain Pattern (MTP) combat dress, camouflagePattern, Multi-Terrain Pattern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Multi-Terrain Pattern Context triple: [British Army Multi-Terrain Pattern (MTP) combat dress, camouflagePattern, Multi-Terrain Pattern]
-
A.
Universal Camouflage Pattern
The Universal Camouflage Pattern was a pixelated digital camouflage design used by the U.S. Army in the 2000s, intended as a one-pattern-fits-all solution for multiple environments but later criticized for its poor effectiveness.
-
B.
Pattern-Seeking Animals
Pattern-Seeking Animals is a progressive rock band formed by longtime Spock’s Beard collaborators, known for melodic, modern prog that blends intricate musicianship with accessible songwriting.
-
C.
Wide Angle Topographic Sensor for Operations and eNgineering
Wide Angle Topographic Sensor for Operations and eNgineering (WATSON) is a Mars rover camera system designed to capture detailed close-up and wide-angle images of the Martian surface for scientific analysis and engineering operations.
-
D.
Noise_NK pattern
Noise_NK pattern is a specific handshake pattern within the Noise protocol framework that defines how an initiator with no static key securely communicates with a responder that has a known static key.
-
E.
Patterns
Patterns is a 1956 American drama film, written by Rod Serling, that explores ruthless corporate power struggles and features a notable performance by Everett Sloane.
- 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: Multi-Terrain Pattern Triple: [British Army Multi-Terrain Pattern (MTP) combat dress, camouflagePattern, Multi-Terrain Pattern]
Generated description
Multi-Terrain Pattern is a British military camouflage design created to provide effective concealment across a wide range of environments and terrains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Multi-Terrain Pattern Target entity description: Multi-Terrain Pattern is a British military camouflage design created to provide effective concealment across a wide range of environments and terrains.
-
A.
Universal Camouflage Pattern
The Universal Camouflage Pattern was a pixelated digital camouflage design used by the U.S. Army in the 2000s, intended as a one-pattern-fits-all solution for multiple environments but later criticized for its poor effectiveness.
-
B.
Pattern-Seeking Animals
Pattern-Seeking Animals is a progressive rock band formed by longtime Spock’s Beard collaborators, known for melodic, modern prog that blends intricate musicianship with accessible songwriting.
-
C.
Wide Angle Topographic Sensor for Operations and eNgineering
Wide Angle Topographic Sensor for Operations and eNgineering (WATSON) is a Mars rover camera system designed to capture detailed close-up and wide-angle images of the Martian surface for scientific analysis and engineering operations.
-
D.
Noise_NK pattern
Noise_NK pattern is a specific handshake pattern within the Noise protocol framework that defines how an initiator with no static key securely communicates with a responder that has a known static key.
-
E.
Patterns
Patterns is a 1956 American drama film, written by Rod Serling, that explores ruthless corporate power struggles and features a notable performance by Everett Sloane.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dff6ba688190b493689d60f616e0 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a69a57c81908bf99cac0c0a49f2 |
completed | April 10, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69d97cc20448819094d650b9c1067dca |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e13913081908dd1fb60fa44db05 |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:06 p.m.