Triple
T21663954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of North Korea |
E534661
|
entity |
| Predicate | circleMeaning |
P124062
|
FINISHED |
| Object | unity |
—
|
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: unity | Statement: [Flag of North Korea, circleMeaning, unity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: circleMeaning Context triple: [Flag of North Korea, circleMeaning, unity]
-
A.
triangleMeaning
Indicates that something represents, conveys, or symbolizes the meaning or significance of a triangle.
-
B.
starMeaning
Indicates that one entity represents or conveys the symbolic or interpretive significance of a star associated with another entity.
-
C.
sunMeaning
Indicates that something represents, conveys, or embodies the meaning or symbolic significance of the sun in a given context.
-
D.
orientationMeaning
Indicates the conceptual or semantic interpretation associated with a particular orientation or directional arrangement between entities.
-
E.
objectMeaning
chosen
Indicates that one entity represents, expresses, or conveys the meaning or semantic content of 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.