Triple
T36178947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Carolina (fictional base) |
E1046652
|
entity |
| Predicate | portraysBranchCulture |
P13486
|
FINISHED |
| Object | U.S. Army culture |
—
|
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 culture | Statement: [South Carolina (fictional base), portraysBranchCulture, U.S. Army culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysBranchCulture Context triple: [South Carolina (fictional base), portraysBranchCulture, U.S. Army culture]
-
A.
cultureDepicted
chosen
Indicates that one entity portrays, represents, or is associated with the culture of another entity.
-
B.
culturalDepictionBy
Indicates that one entity serves as the creator or source of a cultural representation or portrayal of another entity.
-
C.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
D.
centralToCultureOf
Indicates that something is a core, defining, and influential element within the culture of a particular group or society.
-
E.
hasCulturalFocusOn
Indicates that an entity is primarily concerned with, oriented toward, or thematically centered on a particular culture or cultural aspect.
- 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_69f76e3c1b10819081fc7a807a71cf84 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff6a4ce9a08190b98abde3a170dd69 |
completed | May 9, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69ff69c11634819089d1084bd2c11534 |
completed | May 9, 2026, 5:07 p.m. |
Created at: May 3, 2026, 4:08 p.m.