Triple
T34197633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desert DPM combat dress |
E877284
|
entity |
| Predicate | camouflageFamily |
P1200
|
FINISHED |
| Object | DPM (Disruptive Pattern Material) |
—
|
NE NERFINISHED |
How this triple was built (2 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: DPM (Disruptive Pattern Material) | Statement: [Desert DPM combat dress, camouflageFamily, DPM (Disruptive Pattern Material)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: camouflageFamily Context triple: [Desert DPM combat dress, camouflageFamily, DPM (Disruptive Pattern Material)]
-
A.
camouflageStyle
Indicates the type or pattern of camouflage used to visually conceal or disguise an entity in its environment.
-
B.
camouflagePattern
chosen
Indicates that one entity has a surface or visual design intended to conceal it by blending with its surroundings or disrupting its outline.
-
C.
camouflageEffectiveness
Indicates how well one entity’s appearance or behavior conceals it from detection by another entity or sensing system.
-
D.
camouflageTerm
Indicates that one entity serves as a camouflage-related term or label used to describe the concealment or disguising of another entity.
-
E.
canCamouflage
Indicates that an entity has the ability to blend into its surroundings or alter its appearance to avoid detection.
- F. None of above.
Provenance (3 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_69f349af20a4819089ac24d28f2d8112 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7102a2d808190bc0232816d294d97 |
completed | May 3, 2026, 9:06 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:55 a.m.