Triple
T4079736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korean War CIB |
E87447
|
entity |
| Predicate | wearOnUniform |
P18730
|
FINISHED |
| Object | U.S. Army dress uniform |
—
|
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: U.S. Army dress uniform | Statement: [Korean War CIB, wearOnUniform, U.S. Army dress uniform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wearOnUniform Context triple: [Korean War CIB, wearOnUniform, U.S. Army dress uniform]
-
A.
wearsOnUniform
chosen
Indicates that an item is part of and is worn as a component of a uniform.
-
B.
wearsUniformSimilarTo
Indicates that one entity wears a uniform that is similar in appearance or style to the uniform worn by another entity.
-
C.
wears
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
-
D.
wornOver
Indicates that one item of clothing or accessory is positioned on top of and covering another item when worn.
-
E.
wornAtAllTimes
Indicates that something is continuously worn or kept on a person without being removed at any time.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc5087b081909d6042bfe8d8a306 |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9082c2081908474f082a49bebc8 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.