Triple
T34774954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senior Advocate of Nigeria |
E1002476
|
entity |
| Predicate | quota |
P112673
|
FINISHED |
| Object | limited number of new appointees per year |
—
|
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: limited number of new appointees per year | Statement: [Senior Advocate of Nigeria, quota, limited number of new appointees per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quota Context triple: [Senior Advocate of Nigeria, quota, limited number of new appointees per year]
-
A.
quotaSystem
chosen
Indicates a system in which fixed numerical limits or allocations are set for certain actions, resources, or participants.
-
B.
charge
Indicates that one entity formally accuses another of an offense or imposes a financial cost or obligation on them.
-
C.
rate
Indicates the numerical evaluation or assessment assigned by one entity to another based on perceived quality, performance, or value.
-
D.
exportRate
Indicates the rate or proportion at which goods, services, or resources are sent out from one entity or region to others.
-
E.
oftenUsesQuotaType
Indicates that an entity frequently employs or relies on a particular type of quota in its typical operations or behavior.
- 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_69f76db30a108190bb57ca95b873e5bb |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.