Triple
T32871002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Order of Mali |
E840789
|
entity |
| Predicate | isHighestStateHonorOf |
P19106
|
FINISHED |
| Object | Mali |
—
|
NE NERFINISHED |
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: Mali | Statement: [National Order of Mali, isHighestStateHonorOf, Mali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHighestStateHonorOf Context triple: [National Order of Mali, isHighestStateHonorOf, Mali]
-
A.
highestStateHonorOf
chosen
Indicates that one entity is the most prestigious state-level honor or award conferred by the other entity.
-
B.
isOneOfHighestHonoursOf
Indicates that something ranks among the most prestigious or esteemed honors within a particular field, context, or system.
-
C.
isMilitaryAwardFor
Indicates that something is a military honor or decoration given in recognition of a specific action, service, or achievement.
-
D.
highestCivilianAward
Indicates that one entity is recognized as the most prestigious civilian honor conferred by another entity.
-
E.
isHighestPeacetimeGallantryAwardOf
Indicates that one award is the supreme or most prestigious gallantry decoration conferred during peacetime within the context of a given country, organization, or system.
- 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_69f349436ee88190b72ee12d0f3f508e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:17 a.m.