Triple
T1411890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the African Union |
E31822
|
entity |
| Predicate | formerFlagInstanceOf |
P23899
|
FINISHED |
| Object | flag |
—
|
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: flag | Statement: [Flag of the African Union, formerFlagInstanceOf, flag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerFlagInstanceOf Context triple: [Flag of the African Union, formerFlagInstanceOf, flag]
-
A.
instanceOf
relation of type constraints
-
B.
previousInstanceOf
chosen
Indicates that one entity is an earlier occurrence or version of another entity in a sequence or history.
-
C.
laterInstanceOf
Indicates that one entity is a subsequent or later-occurring instance of the same type or pattern as another entity.
-
D.
definesFlag
Indicates that one entity specifies or establishes a particular flag or boolean indicator used by another entity or process.
-
E.
associatedWithFlag
Indicates a relationship where an entity is linked or connected to a particular flag, such as a national, organizational, or symbolic banner.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e3383c81909acb9c6c1c3b817a |
completed | March 1, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69a4bf048b648190ab77d9b45cb4855f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.