Triple
T11897127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General (Confederate States Army) |
E283063
|
entity |
| Predicate | woreUniformOf |
P102122
|
FINISHED |
| Object | Confederate States Army officer 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: Confederate States Army officer uniform | Statement: [General (Confederate States Army), woreUniformOf, Confederate States Army officer uniform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: woreUniformOf Context triple: [General (Confederate States Army), woreUniformOf, Confederate States Army officer uniform]
-
A.
wearsOnUniform
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.
wearsUniformColor
Indicates that an entity regularly uses or is associated with a specific uniform color as part of its standard attire or dress code.
-
D.
wearsInsigniaAt
Indicates that an entity is wearing or displaying a particular insignia at a specified location or point in time.
-
E.
hasSchoolUniform
Indicates that an entity is required to wear or is associated with a specific school uniform as part of its affiliation with a school.
- F. None of above. chosen
Provenance (4 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd13cc10819089d8d5103e562924 |
completed | April 10, 2026, 11:20 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:44 p.m.