Triple
T26861887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Suriname |
E676350
|
entity |
| Predicate | supportersSymbolism |
P122391
|
FINISHED |
| Object | indigenous population of Suriname |
—
|
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: indigenous population of Suriname | Statement: [coat of arms of Suriname, supportersSymbolism, indigenous population of Suriname]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportersSymbolism Context triple: [coat of arms of Suriname, supportersSymbolism, indigenous population of Suriname]
-
A.
supporterSymbol
Indicates that one entity serves as a symbolic representation or emblem of support for another entity.
-
B.
emblemSymbolism
Indicates that one entity serves as an emblem whose design or features symbolically represent or convey meanings about another entity.
-
C.
supportersColor
Indicates that a group of supporters is associated with, identified by, or represented using a particular color.
-
D.
supporterStyle
Indicates the characteristic manner or approach in which a supporter provides their support.
-
E.
supportersDepict
chosen
Indicates that supporters visually represent or portray someone or something, typically in a favorable or endorsing manner.
- 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_69eee9ba94bc8190b44c5d4397d04ecd |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fec8aef1d8819094c7fd7074038e6b |
completed | May 9, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69fec639876481908efd84a3631a4271 |
completed | May 9, 2026, 5:29 a.m. |
Created at: April 27, 2026, 5:25 a.m.