Triple
T2885323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desert Camouflage Uniform |
E59490
|
entity |
| Predicate | wornByBranch |
P3304
|
FINISHED |
| Object | ground forces |
—
|
LITERAL FINISHED |
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: ground forces | Statement: [Desert Camouflage Uniform, wornByBranch, ground forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wornByBranch Context triple: [Desert Camouflage Uniform, wornByBranch, ground forces]
-
A.
wornFor
Indicates that an item is worn for a particular purpose, function, or occasion.
-
B.
hasInsigniaWornBy
Indicates that a particular insignia is worn by a specified entity (such as a person, group, or organization).
-
C.
usedByBranch
chosen
Indicates that something (such as a resource, configuration, or component) is utilized or depended upon by a particular branch.
-
D.
wornAt
Indicates that an item is being worn on a specific part of the body or at a particular time or event.
-
E.
wornOver
Indicates that one item of clothing or accessory is positioned on top of and covering another item when worn.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe04476588190b0db0880e14c79b5 |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.