Triple
T29265047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakistan Honours System |
E741956
|
entity |
| Predicate | recommendationFrom |
P5662
|
FINISHED |
| Object | Prime Minister of Pakistan |
—
|
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: Prime Minister of Pakistan | Statement: [Pakistan Honours System, recommendationFrom, Prime Minister of Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recommendationFrom Context triple: [Pakistan Honours System, recommendationFrom, Prime Minister of Pakistan]
-
A.
recommendation
chosen
Indicates that one entity suggests, endorses, or advises another entity as suitable or beneficial for a particular purpose or context.
-
B.
commendationType
Indicates the specific category or kind of commendation associated with an action or relationship.
-
C.
recommendationProcess
Indicates the process by which one entity evaluates options and suggests a preferred choice or course of action to another entity.
-
D.
canRecommend
Indicates that one entity is able or authorized to suggest or endorse another entity as suitable or preferable.
-
E.
recommendationHorizon
Indicates the time span into the future for which a recommendation or forecast is intended to remain relevant or valid.
- 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_69f0912065c08190bddd23e20e8ef18e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f664de3fec81909fd482a0d6eee6c6 |
completed | May 2, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 12:44 p.m.