Triple
T6256909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Barbados |
E140189
|
entity |
| Predicate | tridentProngsSymbolize |
P69756
|
FINISHED |
| Object | government of the people |
—
|
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: government of the people | Statement: [Flag of Barbados, tridentProngsSymbolize, government of the people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tridentProngsSymbolize Context triple: [Flag of Barbados, tridentProngsSymbolize, government of the people]
-
A.
hasNumberOfProngs
Indicates the relationship specifying how many prongs an object or entity possesses.
-
B.
hasProng
Indicates that one entity possesses, includes, or is equipped with a prong or prongs as part of its structure or design.
-
C.
positionOnTrident
Indicates that one entity occupies a specific location or slot on a trident-like structure or configuration.
-
D.
triskelionType
Indicates that one entity is classified as a specific type or variant of a triskelion.
-
E.
testProng
Indicates that an entity is being examined or evaluated according to a specific criterion, condition, or component of a larger test or standard.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06366baa481908d59428cceabbe46 |
completed | March 22, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c05605566c81908e197f5accd072d2 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c05707d5408190a1d0fd80414ad957 |
completed | March 22, 2026, 8:54 p.m. |
Created at: March 22, 2026, 4:24 p.m.