Triple
T57564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Academy of Sciences |
E1138
|
entity |
| Predicate | selectionCriterion |
P136
|
FINISHED |
| Object | scientific excellence |
—
|
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: scientific excellence | Statement: [African Academy of Sciences, selectionCriterion, scientific excellence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionCriterion Context triple: [African Academy of Sciences, selectionCriterion, scientific excellence]
-
A.
selectionCriteria
chosen
Indicates the conditions or rules used to choose certain entities from a larger set.
-
B.
selectionProcess
Indicates the procedure or set of steps by which one or more options are evaluated and chosen from a larger set of candidates.
-
C.
selectionMadeBy
Indicates that a particular choice or selection was performed or decided by a specific agent or entity.
-
D.
decisionType
Indicates the specific category or nature of a decision associated with an entity or event.
-
E.
awardCriteria
Indicates the standards or conditions used to determine eligibility for receiving an award or recognition.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b915c9881908c798f4dacb39f1d |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ac6799c8190b508933acc0a4c7d |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.