Triple
T21663909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Japan |
E534660
|
entity |
| Predicate | whiteFieldRepresents |
P53520
|
FINISHED |
| Object | honesty and purity |
—
|
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: honesty and purity | Statement: [Flag of Japan, whiteFieldRepresents, honesty and purity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: whiteFieldRepresents Context triple: [Flag of Japan, whiteFieldRepresents, honesty and purity]
-
A.
whiteBordersRepresent
Indicates that white-colored borders are used to symbolize, denote, or stand in for something else.
-
B.
guaranteeRepresentedByWhite
Indicates that a guarantee is visually or symbolically represented using the color white.
-
C.
fieldRepresents
chosen
Indicates that one field or attribute stands for, encodes, or symbolizes another concept, value, or entity.
-
D.
whiteStarRepresents
Indicates that a white star symbol is used to stand for, denote, or signify a particular entity, concept, or status.
-
E.
coversField
Indicates that one entity extends over, protects, or occupies the surface or area of a field associated with another entity.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0a2a58819086db5b5c1c0f3371 |
completed | April 27, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.