Triple
T2787291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government-General Building |
E61841
|
entity |
| Predicate | imageSymbol |
P30078
|
FINISHED |
| Object | dominant structure in central Seoul during colonial period |
—
|
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: dominant structure in central Seoul during colonial period | Statement: [Government-General Building, imageSymbol, dominant structure in central Seoul during colonial period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageSymbol Context triple: [Government-General Building, imageSymbol, dominant structure in central Seoul during colonial period]
-
A.
iconOf
chosen
Indicates that one entity serves as a symbolic or representative image or emblem of another entity.
-
B.
iconShape
Indicates the geometric form or outline that an icon visually takes.
-
C.
iconographyFeature
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
-
D.
iconographyType
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
-
E.
mapSymbol
Indicates a correspondence where one symbol is used to represent, stand for, or denote another element within a mapping or representation system.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdeea881481908d759c72798a50fb |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd025c948190a97dd961a9592bac |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.