Triple
T3979470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Renaissance Monument |
E85720
|
entity |
| Predicate | fundingControversy |
P1783
|
FINISHED |
| Object | criticized for high cost |
—
|
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: criticized for high cost | Statement: [African Renaissance Monument, fundingControversy, criticized for high cost]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fundingControversy Context triple: [African Renaissance Monument, fundingControversy, criticized for high cost]
-
A.
controversyType
Indicates the specific kind or category of controversy associated with an entity or situation.
-
B.
controversy
chosen
Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
-
C.
fundingContext
Indicates the circumstances, purpose, or conditions under which funding is provided or used in a given relationship or action.
-
D.
fundingOversight
Indicates that one entity is responsible for monitoring, regulating, or supervising the use and allocation of funds provided to another entity.
-
E.
locationOfControversy
Indicates the place or setting where a dispute, debate, or controversy occurs or is centered.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa3ef7ac8190abe02f440ff83c43 |
completed | March 9, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69aef8f492ac819089dbb9436dbcdd2b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.