Triple
T1411879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the African Union |
E31822
|
entity |
| Predicate | mapRepresents |
P19295
|
FINISHED |
| Object | continent of Africa |
—
|
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: continent of Africa | Statement: [Flag of the African Union, mapRepresents, continent of Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapRepresents Context triple: [Flag of the African Union, mapRepresents, continent of Africa]
-
A.
mapsFrom
Indicates that one entity is derived, transformed, or constructed based on data, structure, or content originating from another entity.
-
B.
mapsTo
Indicates that one entity is associated with or transformed into another entity, typically defining a directional correspondence or function from a source to a target.
-
C.
mapped
Indicates that one entity has been associated, corresponded, or linked systematically to another according to some defined mapping or alignment.
-
D.
mapSymbol
chosen
Indicates a correspondence where one symbol is used to represent, stand for, or denote another element within a mapping or representation system.
-
E.
mapLabel
Indicates that a label or name is assigned to a map or mapped entity for identification or display.
- 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.