Triple
T1296528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senate of Egypt |
E27664
|
entity |
| Predicate | decisionNature |
P2165
|
FINISHED |
| Object | non‑binding recommendations |
—
|
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: non‑binding recommendations | Statement: [Senate of Egypt, decisionNature, non‑binding recommendations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decisionNature Context triple: [Senate of Egypt, decisionNature, non‑binding recommendations]
-
A.
decisionMaking
Indicates the process by which an entity evaluates options and selects a course of action among alternatives.
-
B.
decisionType
chosen
Indicates the specific category or nature of a decision associated with an entity or event.
-
C.
decisionEffect
Indicates that one decision leads to, influences, or determines a particular outcome or consequence.
-
D.
decisionScope
Indicates the range or domain within which a particular decision is valid, applicable, or has authority.
-
E.
decisiveFor
Indicates that one entity plays a determining or conclusive role in bringing about a particular outcome, decision, or state of another entity.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bee64d908190b6a9bb479959d523 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.