Triple
T6313418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmerson Mnangagwa |
E141557
|
entity |
| Predicate | hasSignaturePolicyFocus |
P69996
|
FINISHED |
| Object | economic reform |
—
|
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: economic reform | Statement: [Emmerson Mnangagwa, hasSignaturePolicyFocus, economic reform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignaturePolicyFocus Context triple: [Emmerson Mnangagwa, hasSignaturePolicyFocus, economic reform]
-
A.
hasSignaturePolicy
Indicates that an entity is governed by a specific policy defining rules or requirements for creating, validating, or using signatures.
-
B.
hasSignatureStatusFor
Indicates that a specific entity holds or is assigned a particular signature-related status in relation to another entity or context.
-
C.
hasSignatureRole
Indicates that an entity holds a primary, defining, or officially recognized role within a given context or relationship.
-
D.
hasReferencePolicy
Indicates that an entity is governed by or associated with a specific reference policy that defines how it should be used, accessed, or managed.
-
E.
hasPolicyGoal
Indicates that an entity is associated with, or aims to achieve, a specific policy objective or target.
- F. None of above. chosen
Provenance (4 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064a075dc8190acf7ec010cb4b00c |
completed | March 22, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69c060e311b48190b1c74a5cf9435623 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:28 p.m.