Triple
T22195008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Union Peace and Security Council |
E548523
|
entity |
| Predicate | hasPermanentMembersCount |
P11657
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [African Union Peace and Security Council, hasPermanentMembersCount, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPermanentMembersCount Context triple: [African Union Peace and Security Council, hasPermanentMembersCount, 5]
-
A.
hasPermanentMembers
Indicates that certain members of a group or organization hold ongoing, non-temporary membership status.
-
B.
numberOfNonPermanentMembers
Indicates the count of entities that hold non-permanent (temporary or rotating) membership within a larger group or body.
-
C.
numberOfPermanentMembers
chosen
Indicates the total count of entities that hold permanent membership within a specified group or organization.
-
D.
numberOfFullMembers
Indicates the total count of entities that hold full membership status within a specified group or organization.
-
E.
hasNumberedMembers
Indicates that a group or collection has members that are explicitly assigned distinct numerical identifiers.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae622ac8190b4fc9e6e4ccd0726 |
completed | April 28, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:35 p.m.