Triple
T10506010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Union Panel of the Wise |
E247787
|
entity |
| Predicate | hasTermLengthForMembers |
P33746
|
FINISHED |
| Object | 3 years |
—
|
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: 3 years | Statement: [African Union Panel of the Wise, hasTermLengthForMembers, 3 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTermLengthForMembers Context triple: [African Union Panel of the Wise, hasTermLengthForMembers, 3 years]
-
A.
termLengthCondition
Indicates a condition or constraint specifying the required or allowed duration/length of a term (such as a contract, agreement, or period).
-
B.
termLength
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
C.
hasMaximumNumberOfMembers
Indicates that there is an upper limit on how many members can be associated with a given entity.
-
D.
hasPermanentMembers
Indicates that certain members of a group or organization hold ongoing, non-temporary membership status.
-
E.
termLengthNumber
chosen
Indicates the numerical value representing the duration or length of a specified term.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509a07c908190bf0e3e5d480b306d |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb919ea08190bcc1193e2014d437 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:26 p.m.