Triple
T28572328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Senegal |
E723145
|
entity |
| Predicate | orderSymbolizes |
P171002
|
FINISHED |
| Object | highest national honor |
—
|
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: highest national honor | Statement: [Coat of arms of Senegal, orderSymbolizes, highest national honor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderSymbolizes Context triple: [Coat of arms of Senegal, orderSymbolizes, highest national honor]
-
A.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
B.
confersOrder
Indicates that one entity formally bestows or grants an order, rank, or honorific distinction upon another entity.
-
C.
orderRegardedAs
Indicates that one order is considered or treated as equivalent to, or in the same category as, another order within a given context or system.
-
D.
orden
Indicates that one entity issues, gives, or establishes an order, command, or directive concerning another entity or situation.
-
E.
orderType
Indicates the specific category or classification of an order, such as its purpose, channel, or processing method.
- 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6984bb55c8190862eb8796868d188 |
completed | May 3, 2026, 12:35 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f6978ec27c8190a488e1f9c2566d38 |
completed | May 3, 2026, 12:32 a.m. |
Created at: April 28, 2026, 4:10 a.m.